Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 14:32 UTC

stanfordnlp / dspy

DSPy: The framework for programming—not prompting—language models

PythonMIT★ 38,093 stars⑂ 3,321 forkssince Jan 2023View on GitHub ↗
KindLibraryhow this is determined

stanfordnlp/dspy holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (98/100) and lowest on Security (74/100). It was last updated today. 4 contributors account for most of its recent work.

98
overall / 100
Exceptional

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

98
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 87 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

Stanford NLPOrganization
2,778 followers55 public repossince Dec 2012

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdspy3.3.16,589,07810926 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

98Exceptional · 21% of overall

Development activity

97Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.2/36Commit cadence — 48/52 weeks with commits
18/18Commit volume — 499 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year499
human_commit_share0.8
days_since_last_push0
active_weeks_last_year48

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~27.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag3.4.0b1
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases27.6
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

89Excellent · 17% of overall

Popularity & adoption

98Exceptional
How it's scored
60/60Stars — 38,093 stars
25/25Forks — 3,321 forks
13/15Watchers — 216 watchers
Inputs used
forks3,321
stars38,093
watchers216
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 6,589,078 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdspy
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,589,078
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

81Excellent · 23% of overall

Maintainer resilience (bus factor)

83Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
16.1/22.5Commit distribution — top contributor authored 28% of commits
13.5/13.5Contributor breadth — 97 contributors
10/10OpenSSF Scorecard: Contributors — project has 23 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled97
top_contributor_share0.284

Issue & PR responsiveness

66Good
How it's scored
33.9/42Issue resolution — 81% of issues closed
20.7/30PR acceptance — 1,775/2,574 decided PRs merged
5.4/13Newcomer PR acceptance — 5/12 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 12/28 approved changesets -- score normalized to 4
Inputs used
merged_prs1,775
open_issues324
closed_issues1,357
prs_merged_7d24
prs_decided_7d31
prs_merged_30d31
prs_decided_30d50
issue_closed_ratio0.807
closed_unmerged_prs799
first_time_authors_30d8
first_time_prs_merged_30d5
first_time_prs_decided_30d12

Ownership & stewardship

80Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
24.8/25Owner reach — 2,778 followers of stanfordnlp
24.7/25Track record — 55 public repos, account ~13 yr old
Inputs used
followers2,778
owner_typeOrganization
is_verifiedno
owner_loginstanfordnlp
public_repos55
account_age_days5,024

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 26 days ago
20/20Version history — 109 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdspy
ecosystemspypi
any_deprecatedno
min_days_since_publish26

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://dspy.ai
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://dspy.ai
docs_sitehttps://dspy.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

74Good · 16% of overall

Security posture

70Good
How it's scored
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 — 30 out of 30 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
3/7.5Code-Review — Found 12/28 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 23 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 78 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

89Excellent
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: diskcache 5.6.3 (moderate)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 217 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages62
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:dspy@3.3.1 runtime dependency closure — what installing the published package pulls in — 62 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

75Good · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://dspy.ai/llms.txt)
40/40Legible commit history — 80 of 80 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://dspy.ai/llms.txt
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

78Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — dspy/_vendor/lm15/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 11 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 18 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesPipfile.lock, uv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsdspy/_vendor/lm15/py.typed
agent_commit_share0.11
toolchain_manifests—
dependency_bot_commit_share0.18

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (dspy/_vendor/lm15/py.typed)
53/55Manageable file sizes — 14/391 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes126,471
source_files_sampled391
oversized_source_files14

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

38,093GitHub stars
97contributors
499commits, last 12 months
0days since last push
100releases
4bus factor
324open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 22 authors (cap 12)
  • pypi download statistics for 'dspy' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for dspy carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 3,321 ⇿
0Stars
3,321Forks
11Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

2,2002,4002,6002,8003,0003,2003,4003,321142025-112026-042026-09
Major 0Minor 3Patch 5
OpenSSF Scorecard 7.0 / 10
7.0aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-17 14:31 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 12/28 approved changesets -- score normalized to 4
10Contributorsproject has 23 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities78 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIopenai>=1.66.2pyproject.toml
PyPIregex>=2023.10.3pyproject.toml
PyPIorjson>=3.9.0pyproject.toml
PyPItqdm>=4.66.1pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIpydantic>=2.11.0pyproject.toml
PyPIlitellm>=1.65.8pyproject.toml
PyPIdiskcache>=5.6.0pyproject.toml
PyPIjson-repair>=0.54.2pyproject.toml
PyPItenacity>=8.2.3pyproject.toml
PyPIanyio—pyproject.toml
PyPIcachetools>=5.5.0pyproject.toml
PyPIcloudpickle>=3.1.2pyproject.toml
PyPIgepa==0.1.4pyproject.toml
All dependencies 312

Full resolved dependency set from the GitHub dependency graph: 24 direct and 288 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpytz2025.1indirect
PyPIpytz2026.3.post1indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq27.1.0indirect
PyPIredis8.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrestrictedpython8.4indirect
PyPIrich13.9.4indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIrq2.10.0indirect
PyPIruff0.16.2indirect
PyPIs3transfer0.19.2indirect
PyPIsetuptools—indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsoundfile0.14.0indirect
PyPIsoupsieve2.8.3indirect
PyPIsqlalchemy2.0.39indirect
PyPIsqlalchemy2.0.51indirect
PyPIsse-starlette3.4.8indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.6.0indirect
PyPItiktoken0.13.0indirect
PyPItiktoken0.9.0indirect
PyPItinycss21.5.1indirect
PyPItokenizers0.21.1indirect
PyPItokenizers0.23.1indirect
PyPItomli2.4.1indirect
PyPItornado6.5.5indirect
PyPItraitlets5.14.3indirect
PyPItypeguard4.6.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.3indirect
PyPItzdata2025.2indirect
PyPItzdata2026.3indirect
PyPItzlocal5.4.4indirect
PyPIujson5.10.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.17.0indirect
PyPIuvicorn0.52.1indirect
PyPIuvloop0.22.1indirect
PyPIvalidators0.35.0indirect
PyPIvirtualenv21.7.4indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.6.0indirect
PyPIwcwidth0.8.2indirect
PyPIweaviate-client4.21.3indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets15.0.1indirect
PyPIwheel—indirect
PyPIxxhash3.5.0indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.18.3indirect
PyPIyarl1.24.5indirect
PyPIzipp3.21.0indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 1

Installing pypi:dspy@3.3.1 pulls in 62 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
diskcache5.6.3directmoderate2—

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.