Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-06 03:52 UTC

ReactiveX / RxPY

ReactiveX for Python

Python · Jupyter NotebookMIT★ 5,018 stars⑂ 366 forkssince Mar 2013View on GitHub ↗

ReactiveX/RxPY holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (92/100) and lowest on Security (69/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

ReactiveXOrganization
1,553 followers42 public repossince Jan 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIreactivex5.1.0-199 days ago

Metrics by category

Vitality

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

74Good · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
6.2/36Commit cadence9/52 weeks with commits
16/18Commit volume60 commits in the last year
10/10OpenSSF Scorecard: Maintained23 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year60
human_commit_share0.81
days_since_last_push2
active_weeks_last_year9
How it's scored
27/27Ships releases23 releases published
36/36Release recencylatest release 9 days ago
12.6/27Release cadencea release every ~176.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count23
latest_release_tagv5.1.0
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases176.8
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?

82Excellent · 17% of overall
How it's scored
60/60Stars5,018 stars
21.4/25Forks366 forks
11.1/15Watchers99 watchers
Inputs used
forks366
stars5,018
watchers99
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

75Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
4/22.5Commit distributiontop contributor authored 82% of commits
13.5/13.5Contributor breadth88 contributors
10/10OpenSSF Scorecard: Contributorsproject has 17 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled88
top_contributor_share0.823
How it's scored
37.9/42Issue resolution90% of issues closed
25.1/30PR acceptance349/417 decided PRs merged
13/13Newcomer PR acceptance3/3 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 4/19 approved changesets -- score normalized to 2
Inputs used
merged_prs349
open_issues35
closed_issues326
prs_merged_7d0
prs_decided_7d0
prs_merged_30d14
prs_decided_30d14
issue_closed_ratio0.903
closed_unmerged_prs68
first_time_authors_30d3
first_time_prs_merged_30d3
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
22.9/25Owner reach1,553 followers of ReactiveX
23.9/25Track record42 public repos, account ~12 yr old
Inputs used
followers1,553
owner_typeOrganization
is_verified
owner_loginReactiveX
public_repos42
account_age_days4,585
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 9 days ago
20/20Version history19 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesreactivex
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config.pylintrc
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 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 sitehttps://rxpy.rtfd.io
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicspython, reactive, reactivex, reactive-extensions, rxpy
has_wikino
homepagehttps://rxpy.rtfd.io
docs_sitehttps://rxpy.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

69Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 4/19 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 17 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained23 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
3/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
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:reactivex@5.1.0 runtime dependency closure — what installing the published package pulls in — 1 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.

89Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
34.2/40Legible commit history52 of 81 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.642
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes5,104
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config.pylintrc
11/11Static type checkingreactivex/py.typed
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice34 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance6 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsreactivex/py.typed
agent_commit_share0.34
toolchain_manifests
dependency_bot_commit_share0.06
How it's scored
27/45Type-checkable codePython with type-check config (reactivex/py.typed)
54.9/55Manageable file sizes1/446 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes133,226
source_files_sampled446
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, 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

5,018GitHub stars
88contributors
60commits, last 12 months
2days since last push
23releases
1bus factor
35open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 366 ⇿
0Stars
366Forks
20Releases

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.

012525037536252013-062019-122026-07
Major 2Minor 3Patch 5

Each point covers 12 days.

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-08-06 03:52 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
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
2Code-ReviewFound 4/19 approved changesets -- score normalized to 2
10Contributorsproject has 17 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained23 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPItyping-extensions>=4.15.0,<5pyproject.toml
All dependencies 48

Full resolved dependency set from the GitHub dependency graph: 1 direct and 47 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPItyping-extensions4.16.0direct
PyPIannotated-doc0.0.4indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcertifi2026.6.17indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.2indirect
PyPIcoveralls4.1.0indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.31.1indirect
PyPIguzzle-sphinx-themeindirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIlibrt0.13.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpygments2.20.0indirect
PyPIpyright1.1.411indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.4.4indirect
PyPIpyyaml6.0.3indirect
PyPIreactivex5.1.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruff0.15.22indirect
PyPIshellingham1.5.4indirect
PyPIsphinxindirect
PyPIsphinx-autodoc-typehintsindirect
PyPIsphinxcontrib-doobleindirect
PyPItomliindirect
PyPItomli2.4.1indirect
PyPItyper0.27.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
Dependency advisories 0

Installing pypi:reactivex@5.1.0 pulls in 1 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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.