Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 09:36 UTC

ReactiveMongo / ReactiveMongo-BSON

:leaves: BSON library for ReactiveMongo

ScalaApache-2.0★ 7 stars⑂ 13 forkssince Jun 2019View on GitHub ↗

ReactiveMongo/ReactiveMongo-BSON holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Vitality (85/100) and lowest on Community & Adoption (42/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.

67
overall / 100
Good

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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

ReactiveMongoOrganization
1 follower11 public repossince Jul 2013

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

Metrics by category

Vitality

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

85Excellent · 21% of overall
How it's scored
36/36Push recency — last push 5 days ago
26.3/36Commit cadence — 38/52 weeks with commits
16.9/18Commit volume — 76 commits in the last year
10/10OpenSSF Scorecard: Maintained — 18 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year76
human_commit_share1
days_since_last_push5
active_weeks_last_year38
How it's scored
16.2/27Ships releases — 64 version tags (no GitHub releases)
36/36Release recency — latest release 10 days ago
19.8/27Release cadence — a release every ~88.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count64
latest_release_tag1.1.0-RC22
releases_from_tagsyes
days_since_latest_release10
mean_days_between_releases88.1
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?

42Weak · 17% of overall
How it's scored
12.6/60Stars — 7 stars
9/25Forks — 13 forks
0/15Watchers — 1 watchers
Inputs used
forks13
stars7
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateyes
has_code_of_conductno
readme_badge_servicescircleci.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

56Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.3/22.5Commit distribution — top contributor authored 63% of commits
9.5/13.5Contributor breadth — 7 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.632
How it's scored
42/42Issue resolution — 100% of issues closed
26/30PR acceptance — 461/531 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 18/30 approved changesets -- score normalized to 6
Inputs used
merged_prs461
open_issues0
closed_issues14
prs_merged_7d0
prs_decided_7d0
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio1
closed_unmerged_prs70
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
2.2/25Owner reach — 1 followers of ReactiveMongo
19.9/25Track record — 11 public repos, account ~13 yr old
Inputs used
followers1
owner_typeOrganization
is_verifiedno
owner_loginReactiveMongo
public_repos11
account_age_days4,837

Engineering Quality

Are baseline engineering and documentation practices in place?

52Moderate · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 21 out of 21 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — http://reactivemongo.org/releases/0.1x/documentation/tutorial/bison.html
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsscala, mongodb, reactivemongo, bson
has_wikino
homepagehttp://reactivemongo.org/releases/0.1x/documentation/tutorial/bison.html
docs_sitehttp://reactivemongo.org/releases/0.1x/documentation/tutorial/bison.html
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 21 out of 21 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
4.5/7.5Code-Review — Found 18/30 approved changesets -- score normalized to 6
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
0/10Dangerous-Workflow — no data
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 — 18 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
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 — no data
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

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.

55Moderate · 4% of overall
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://docs.mongodb.com/llms.txt)
40/40Legible commit history — 83 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.mongodb.com/llms.txt
legible_history_share0.83
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — Scala (statically typed)
0/10Reproducible environment
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
45/45Type-checkable code — Scala (statically typed)
54.7/55Manageable file sizes — 1/173 source files over 60KB
Inputs used
primary_languageScala
largest_source_bytes77,446
source_files_sampled173
oversized_source_files1

Key facts

7GitHub stars
7contributors
76commits, last 12 months
5days since last push
64releases
1bus factor
0open issues
—package ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 13 ⇿
0Stars
13Forks
57Releases

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.

03581013151312019-062022-062025-07
Major 1Minor 3Patch 33

Each point covers 6 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-10-19 09:36 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-Tests21 out of 21 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 18/30 approved changesets -- score normalized to 6
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained18 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

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.