Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 02:21 UTC

spyder-ide / spyder

Official repository for Spyder - The Scientific Python Development Environment

PythonMIT★ 9,330 stars⑂ 1,800 forkssince Feb 2015View on GitHub ↗
KindDesktop applicationCommand-line toolLibraryPluginhow this is determined

spyder-ide/spyder holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (62/100). It was last updated 5 days ago. 2 contributors account for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

Spyder IDEOrganization
641 followers53 public repossince Dec 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIqtconsolepoints to another repo — not scored5.7.21,702,89753178 days agointeractiveinterpretershell
PyPIpython-lsp-serverpoints to another repo — not scored1.15.01,299,9453654 days ago—
PyPIspyder-kernels3.1.6104,0269424 days agospyderjupyterkernelipythonconsole
PyPIspyder-remote-services1.0.3778172 days agojupyterspyder

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 5 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 1,028 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,028
human_commit_share1
days_since_last_push5
active_weeks_last_year52
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 22 days ago
27/27Release cadence — a release every ~15.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv6.1.7
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases15.9

Community & Adoption

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

96Exceptional · 17% of overall
How it's scored
60/60Stars — 9,330 stars
25/25Forks — 1,800 forks
13.7/15Watchers — 288 watchers
Inputs used
forks1,800
stars9,330
watchers288
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

100Exceptional
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges17
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicescodecov.io, coveralls.io, github.com, opencollective.com, shields.io
has_pull_request_templateyes
How it's scored
66.9/80Monthly downloads — 104,026 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesspyder-kernels
dependents—
ecosystemspypi
total_downloads—
monthly_downloads104,026
unverified_packages_excludedspyder-remote-services
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?

79Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.3/22.5Commit distribution — top contributor authored 50% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 93 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled100
top_contributor_share0.499
How it's scored
39.4/42Issue resolution — 94% of issues closed
26.9/30PR acceptance — 4,770/5,311 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 9/15 approved changesets -- score normalized to 6
Inputs used
merged_prs4,770
open_issues1,289
closed_issues19,473
prs_merged_7d1
prs_decided_7d1
prs_merged_30d32
prs_decided_30d36
issue_closed_ratio0.938
closed_unmerged_prs541
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
20.2/25Owner reach — 641 followers of spyder-ide
24.6/25Track record — 53 public repos, account ~14 yr old
Inputs used
followers641
owner_typeOrganization
is_verifiedno
owner_loginspyder-ide
public_repos53
account_age_days5,382

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 24 days ago
20/20Version history — 94 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesspyder-kernels, spyder-remote-services
ecosystemspypi
any_deprecatedno
min_days_since_publish24

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc, external-deps/python-lsp-server/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 9 out of 15 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://www.spyder-ide.org
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicsspyder, python, pyqt5, anaconda, anaconda-distribution, winpython, qt, language-server-protocol, ide
has_wikiyes
homepagehttps://www.spyder-ide.org
docs_sitehttps://www.spyder-ide.org
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
1.5/2.5CI-Tests — 9 out of 15 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 9/15 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 93 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages30
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:qtconsole@5.7.2 runtime dependency closure — what installing the published package pulls in — 30 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.

64Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
27.2/40Legible commit history — 51 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.51
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — external-deps/qtconsole/docs/Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc, external-deps/python-lsp-server/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.black])
11/11Static type checking — external-deps/python-lsp-server/pylsp/py.typed
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesexternal-deps/qtconsole/docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsexternal-deps/python-lsp-server/pylsp/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (external-deps/python-lsp-server/pylsp/py.typed)
52.3/55Manageable file sizes — 102/2,042 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes984,414
source_files_sampled2,042
oversized_source_files102
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

9,330GitHub stars
100contributors
1,028commits, last 12 months
5days since last push
100releases
2bus factor
1,289open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'qtconsole' points at a different repository (http://jupyter.org); excluded from ecosystem scoring
  • pypi package 'python-lsp-server' points at a different repository (https://github.com/python-lsp/python-lsp-server); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 1,800 ⇿
0Stars
1,800Forks
100Releases

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.

8001,0001,2001,4001,6001,8001,800102019-092023-032026-09
Major 2Minor 7Patch 52

Each point covers 7 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-09-20 02:20 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
6CI-Tests9 out of 15 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 9/15 approved changesets -- score normalized to 6
10Contributorsproject has 93 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging 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
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPIdocstring-to-markdown—external-deps/python-lsp-server/pyproject.toml
PyPIimportlib_metadata>=4.8.3external-deps/python-lsp-server/pyproject.toml
PyPIjedi>=0.17.2,<0.21.0external-deps/python-lsp-server/pyproject.toml
PyPIpluggy>=1.0.0external-deps/python-lsp-server/pyproject.toml
PyPIpython-lsp-jsonrpc>=1.1.0,<2.0.0external-deps/python-lsp-server/pyproject.toml
PyPIujson>=3.0.0external-deps/python-lsp-server/pyproject.toml
PyPIblack—external-deps/python-lsp-server/pyproject.toml
PyPIcloudpickle—external-deps/spyder-kernels/pyproject.toml
PyPIipykernel>=6.29.3,<7.3.0external-deps/spyder-kernels/pyproject.toml
PyPIipython>=9.15.0,<10external-deps/spyder-kernels/pyproject.toml
PyPIjupyter-client>=7.4.9,<9external-deps/spyder-kernels/pyproject.toml
PyPIpackaging—external-deps/spyder-kernels/pyproject.toml
PyPIpyxdg>=0.26external-deps/spyder-kernels/pyproject.toml
PyPIpyzmq>=24.0.0external-deps/spyder-kernels/pyproject.toml
PyPItraitlets>=5.14.3external-deps/spyder-kernels/pyproject.toml
PyPIwurlitzer>=1.0.3external-deps/spyder-kernels/pyproject.toml
PyPIjupyter_server>=2.14.2,<3.0external-deps/spyder-remote-services/pyproject.toml
PyPIjupyter_client>=8.6.2,<9.0external-deps/spyder-remote-services/pyproject.toml
PyPIenvs-manager<1.0.0external-deps/spyder-remote-services/pyproject.toml
PyPIorjson>=3.10.12,<4.0external-deps/spyder-remote-services/pyproject.toml
All dependencies 64

Full resolved dependency set from the GitHub dependency graph: 16 direct and 48 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcloudpickle—direct
PyPIenvs-manager—direct
PyPIipykernel—direct
PyPIipython—direct
PyPIjedi—direct
PyPIjupyter-client—direct
PyPIjupyter-server—direct
PyPIorjson—direct
PyPIpackaging—direct
PyPIpluggy—direct
PyPIpython-lsp-jsonrpc—direct
PyPIpyxdg—direct
PyPIpyzmq—direct
PyPItraitlets—direct
PyPIujson—direct
PyPIwurlitzer—direct
PyPIanyio—indirect
PyPIautopep8—indirect
PyPIbokeh3.9indirect
PyPIcoverage—indirect
PyPIcython—indirect
PyPIdask—indirect
PyPIdjango—indirect
PyPIflake8—indirect
PyPIflaky—indirect
PyPIh5py—indirect
PyPIipython-pygments-lexers—indirect
PyPIjupyter-core—indirect
PyPImatplotlib—indirect
PyPImccabe—indirect
PyPImock—indirect
PyPInumpy—indirect
PyPIpandas—indirect
PyPIpillow—indirect
PyPIpip—indirect
PyPIpolars—indirect
PyPIpyarrow—indirect
PyPIpycodestyle—indirect
PyPIpydicom—indirect
PyPIpydocstyle—indirect
PyPIpyflakes—indirect
PyPIpygments—indirect
PyPIpylint—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-lazy-fixture—indirect
PyPIpytest-mock—indirect
PyPIpytest-order—indirect
PyPIpytest-qt—indirect
PyPIpytest-timeout—indirect
PyPIpywin32—indirect
PyPIpyyaml—indirect
PyPIqtawesome—indirect
PyPIqtpy—indirect
PyPIrope—indirect
PyPIscipy—indirect
PyPIsetuptools—indirect
PyPIsetuptools-scm—indirect
PyPIspyder—indirect
PyPIsympy—indirect
PyPIwebsockets—indirect
PyPIwhatthepatch—indirect
PyPIxarray—indirect
PyPIyapf—indirect
Dependency advisories 0

Installing pypi:qtconsole@5.7.2 pulls in 30 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

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.