Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 12:10 UTC

QuantEcon / QuantEcon.jl

Julia implementation of QuantEcon routines

JuliaBSD-3-Clause★ 552 Sterne⑂ 308 Forksseit Juli 2014Auf GitHub ansehen ↗

QuantEcon/QuantEcon.jl erreicht einen Gesundheitsindex von 68 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (80/100) ab, am schwächsten bei Security (51/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

68
gesamt / 100
Mittel

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

68
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

QuantEconOrganisation
1.695 Follower206 öffentliche Reposseit Sept. 2014

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

80Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
14.5/36Commit-Rhythmus — 21/52 Wochen mit Commits
16.7/18Commit-Volumen — 71 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 20 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year71
human_commit_share0,89
days_since_last_push0
active_weeks_last_year21
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 25 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 14 Tagen
12.6/27Release-Rhythmus — ein Release etwa alle 278,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count25
latest_release_tagv0.18.0
releases_from_tagsnein
days_since_latest_release14
mean_days_between_releases278,1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

63Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
44.5/60Stars — 552 Stars
20.7/25Forks — 308 Forks
9.4/15Watcher — 51 Watcher
Verwendete Eingangsdaten
forks308
stars552
watchers51
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

64Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
11.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 50 % der Commits
13.5/13.5Breite der Beitragenden — 34 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled34
top_contributor_share0,503
Wie die Bewertung erfolgt
37.2/46.8Issue-Lösungsquote — 80 % der Issues geschlossen
35.4/38.3PR-Annahme — 211/228 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/21 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs211
open_issues34
closed_issues132
issue_closed_ratio0,795
closed_unmerged_prs17
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
23.2/25Reichweite des Inhabers — 1.695 Follower von QuantEcon
25/25Kontohistorie — 206 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers1.695
owner_typeOrganization
is_verified
owner_loginQuantEcon
public_repos206
account_age_days4.339

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

77Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://quantecon.org/quantecon-jl/
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttps://quantecon.org/quantecon-jl/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

51Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/21 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 29 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 20 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

56Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 70 von 89 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,787
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes16.779
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
10/10Belegte Agentenpraxis — 46 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
8/8Automatisierte Wartung — 7 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0,46
toolchain_manifests
dependency_bot_commit_share0,07
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Julia ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/1 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageJulia
largest_source_bytes196
source_files_sampled1
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

552GitHub-Sterne
34Mitwirkende
71Commits, letzte 12 Monate
0Tage seit letztem Push
25Releases
1Bus-Faktor
34offene Issues
Paket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 308 ⇿
0Sterne
308Forks
24Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

012525037530692014-092020-072026-05
Major 0Minor 10Patch 14

Jeder Punkt umfasst 11 Tage.

OpenSSF Scorecard 5.1 / 10
5.1Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-27 12:10 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/21 approved changesets -- score normalized to 0
10Contributorsproject has 29 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained20 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 0

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess

JSON-Rohbericht maschinenlesbar
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          "body": "…_chain (#394)\n\n* ENH: Support sparse output in random_stochastic_matrix, random_markov_chain\n\nAdd a keyword argument sparse::Union{Val{true},Val{false}}=Val(false)\nto random_markov_chain and random_stochastic_matrix. With Val(true),\nthe matrix is built directly as a SparseMatrixCSC from the sampled\n[…]\n that they sample the same matrix\n- Cover sparse=Val(true) in the k=1 testset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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          "headline": "ENH: Support sparse output in random_stochastic_matrix, random_markov…",
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          "body": "…P) (#393)\n\n* TEST: Add regression test for issue #117 (input mutation in DiscreteDP)\n\nThe bug — the constructor sorted s_indices/a_indices (and permuted R)\nin place for unsorted sa-pair input, so that reconstruction from the\nsame arrays failed with \"Duplicate s-a pair found\" — was fixed by #122;\nth\n[…]\ncheck for the dense and sparse Q paths\nindependently, as suggested by review.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "TEST: Add regression test for issue #117 (input mutation in DiscreteD…",
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          "body": "* FIX: Fix known bugs in MarkovChain (markov/mc_tools.jl)\n\n- gth_solve: throw DimensionMismatch on non-square input, instead of\n  silently returning an incorrect result\n- gth_solve!: avoid temporary arrays from row/column slicing and\n  out-of-place normalization (at n=200: 1201 allocations down to 5\n[…]\nFloat64) for abstract element types, for which\n  eps(T) raises a MethodError.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "FIX: Fix known bugs in MarkovChain (markov/mc_tools.jl) (#392)",
          "author_name": "Daisuke Oyama",
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          "body": "* Add benchmarks for MarkovChain (markov/mc_tools.jl)\n\nAdd SUITE[\"mc_tools\"], covering gth_solve, the MarkovChain\nconstructor, stationary_distributions, and the simulation routines\n(simulate, simulate!, simulate_indices), for dense and sparse\ntransition matrices. The simulate benchmarks separate the\n[…]\n\nenough (~10us tunes to evals=8), making judge sides run different\nworkloads.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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          "headline": "Add benchmarks for MarkovChain (markov/mc_tools.jl) (#391)",
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          "body": "…orm (#389)\n\n* ENH: Store s_indices; add num_sa_pairs, to_sa_pair_form, to_product_form\n\nFeature synchronization with QuantEcon.py:\n\n- Store the (sorted) state indices on DiscreteDP as the s_indices\n  field (empty for the product form, like a_indices/a_indptr); for\n  unsorted input they are reconstr\n[…]\nional models\nround-trip exactly — regression tests added for all three cases.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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          "headline": "ENH: Store s_indices; add num_sa_pairs, to_sa_pair_form, to_product_f…",
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          "body": "* PERF: Store sparse sa-formulation Q transposed internally\n\nStore the transition probability array of the state-action pair\nformulation, when sparse, in transposed (states-tomorrow x sa-pairs)\norder, so that the transition probabilities of each pair occupy a\ncontiguous CSC column. ddp.Q is the lazy\n[…]\nkov chain from the sparse sa formulation works\nwith stationary_distributions.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "PERF: Store sparse sa-formulation Q transposed internally (#388)",
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          "body": "…(#387)\n\n* DOC: Update agent instructions; add AGENTS.md and CLAUDE.md pointers\n\nUpdate .github/copilot-instructions.md: document the benchmark/ suite\n(not run in CI; keep in sync with internal renames), add contribution\nconventions (commit/PR title prefixes, PR description formatting,\nQuantEcon.py \n[…]\n75728472+Copilot@users.noreply.github.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\nCo-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>",
          "is_bot": false,
          "headline": "DOC: Update agent instructions; add AGENTS.md and CLAUDE.md pointers …",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
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          "body": "[ci skip]",
          "is_bot": false,
          "headline": "FIX: Fix formatting in copilot instructions",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
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          "body": "* PERF: Optimize DiscreteDP kernels and solver loops\n\n- Rewrite the dense RQ_sigma with a direct destination-state-outer loop\n  fill, replacing the hcat splat over strided slices (~27x faster at\n  n=500, m=100); Q_sigma is now returned as a Matrix instead of an\n  Adjoint\n- Add a bellman_operator! me\n[…]\nellman_operator!.\n\nAlso make _max_abs_diff index-agnostic (first(eachindex)).\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "PERF: Optimize DiscreteDP kernels and solver loops (#386)",
          "author_name": "Daisuke Oyama",
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          "oid": "994d928ca23464e605896199228ecf8c660b0d87",
          "body": "* FIX: Fix known bugs in DiscreteDP (markov/ddp.jl)\n\n- Copy v_init in DPSolveResult so that solve does not overwrite the\n  caller's array\n- Make MPFI respect a user-supplied v_init; the min-reward\n  initialization is applied only as the default, as in QuantEcon.py\n- Remove a leftover debug println i\n[…]\nropic.com>\n\n* TEST: Test PFI, not VFI, in the policy_iteration beta=1 testset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "FIX: Fix known bugs in DiscreteDP (markov/ddp.jl) (#385)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2026-07-08T06:59:26Z",
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          "oid": "1befe049145d38d2797616609a65187d34d0a4f3",
          "body": "* Add benchmark suite, with benchmarks for DiscreteDP\n\nStandard BenchmarkTools/PkgBenchmark format: benchmark/benchmarks.jl\ndefines SUITE; benchmark/ddp.jl covers DiscreteDP as SUITE[\"ddp\"]\n(4 model cases x 9 benchmarks). Establishes a performance baseline for\nthe planned optimization work on src/ma\n[…]\nthat exactly 50 iterations are\n  performed mechanically, not just empirically\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Add benchmark suite, with benchmarks for DiscreteDP (#383)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2026-07-08T05:57:36Z",
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          "oid": "02ece317b175a4020a3b729343a8f34950504c14",
          "body": "…ma and known-bug markers (#384)\n\nAssignments in a testset to names defined in the enclosing scope\noverwrite the shared fixtures: the Backward induction testset was\nclobbering R, Q, beta, s_indices, a_indices, so subsequent testsets ran\nagainst the wrong fixtures (e.g. the beta-validation constructo\n[…]\nODO and adds a \"known issues (broken)\"\ntestset with @test_broken markers for known ddp.jl bugs, to be flipped\nto @test by an upcoming bugfix PR.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Fix testset fixture leakage in test_ddp.jl; add DDPsa test for RQ_sig…",
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          "oid": "b18ae739bb053863be3ae0fd6439936ced50b4dd",
          "body": "Bumps [actions/checkout](https://github.com/actions/checkout) from 6 to 7.\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/actions/checkout/compare/v6...v7)\n\n---\nupdated-dependenc\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump actions/checkout from 6 to 7 (#382)",
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          "body": "Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 6 to 7.\n- [Release notes](https://github.com/codecov/codecov-action/releases)\n- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/codecov/codecov-action/compare/v\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump codecov/codecov-action from 6 to 7 (#381)",
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          "headline": "Bump julia-actions/setup-julia from 2 to 3 (#380)",
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          "body": "Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 5 to 6.\n- [Release notes](https://github.com/codecov/codecov-action/releases)\n- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/codecov/codecov-action/compare/v\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump codecov/codecov-action from 5 to 6 (#379)",
          "author_name": "dependabot[bot]",
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          "committed_at": "2026-03-27T02:02:03Z",
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          "body": "Bumps [julia-actions/cache](https://github.com/julia-actions/cache) from 2 to 3.\n- [Release notes](https://github.com/julia-actions/cache/releases)\n- [Commits](https://github.com/julia-actions/cache/compare/v2...v3)\n\n---\nupdated-dependencies:\n- dependency-name: julia-actions/cache\n  dependency-versi\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump julia-actions/cache from 2 to 3 (#378)",
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          "headline": "v0.17.1",
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          "headline": "CompatHelper: bump compat for Optim to 2, (keep existing compat) (#377)",
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          "body": "Bumps [julia-actions/setup-julia](https://github.com/julia-actions/setup-julia) from 1 to 2.\n- [Release notes](https://github.com/julia-actions/setup-julia/releases)\n- [Commits](https://github.com/julia-actions/setup-julia/compare/v1...v2)\n\n---\nupdated-dependencies:\n- dependency-name: julia-actions/\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump julia-actions/setup-julia from 1 to 2 (#376)",
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          "committed_at": "2025-12-19T15:17:53Z",
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          "body": "Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/actions/checkout/compare/v4...v6)\n\n---\nupdated-dependenc\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump actions/checkout from 4 to 6 (#375)",
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          "author_login": "dependabot[bot]",
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          "oid": "2f3a501af2c6553013773bac1229983fadd530f8",
          "body": "* Initial plan\n\n* Add Dependabot configuration for GitHub Actions\n\nCo-authored-by: oyamad <7353083+oyamad@users.noreply.github.com>\n\n---------\n\nCo-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>\nCo-authored-by: oyamad <7353083+oyamad@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add Dependabot configuration for GitHub Actions (#374)",
          "author_name": "Copilot",
          "author_login": "Copilot",
          "committed_at": "2025-12-19T14:28:58Z",
          "body_truncated": false,
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          "oid": "67c386aac9f180fa75e909fa451cb4d4e84fda97",
          "body": "not in use for a long time",
          "is_bot": false,
          "headline": "Remove .coveralls.yml (#372)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-12-14T07:05:03Z",
          "body_truncated": false,
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          "oid": "b686df7a6cf4c8a71a85fdeaf5add9cf27259e31",
          "body": "* ENH: Add `lcp_lemke`\n\nJulia translation of quantecon/optimize/lcp_lemke.py\n\n* Edits",
          "is_bot": false,
          "headline": "ENH: Add `lcp_lemke` (#371)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-12-06T03:39:35Z",
          "body_truncated": false,
          "is_coding_agent": false
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          "body": null,
          "is_bot": false,
          "headline": "FIX: test_kalman: Construct `Kalman.R` as a 1x1 Matrix (#370)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-11-13T02:08:02Z",
          "body_truncated": false,
          "is_coding_agent": false
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          "oid": "43e36348046872b77ba9aff2368f3cd03467985c",
          "body": "Also update Julia compat lower bound to LTS version (1.10)",
          "is_bot": false,
          "headline": "v0.17.0",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-11-11T11:05:33Z",
          "body_truncated": false,
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          "body": "Julia translation of quantecon/optimize/pivoting.py",
          "is_bot": false,
          "headline": "ENH: Add pivoting.jl (#368)",
          "author_name": "Daisuke Oyama",
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          "oid": "b200d699f183adb4939d0084afd8673ed13060d4",
          "body": "Previously the functions returned the type `Nothing`. Now they return the singleton value `nothing`, aligning with Julia conventions.\r\n\r\nBREAKING CHANGE: The return value of set_state! and related functions changes from type `Nothing` to value `nothing`. Closes #364",
          "is_bot": false,
          "headline": "fix(kalman)!: return `nothing` instead of `Nothing` (#367)",
          "author_name": "Yugan T",
          "author_login": "YuganThirukumaran",
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          "oid": "d0b16edf34478d0091dcb6efac33c06e9371d859",
          "body": "* DOC: Minor edits\n\n* Update src/modeltools/utility.jl\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>\n\n---------\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>",
          "is_bot": false,
          "headline": "DOC: Minor edits (#366)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-11-05T02:00:33Z",
          "body_truncated": false,
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                "key": "openssf_scorecard_contributors",
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                "key": "issue_resolution",
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                "max_points": 7.5
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