Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-12 19:03 UTC

GeiserX / Telegram-Archive

Own your Telegram history. Automated, incremental backups with a local web viewer that feels just like the real app. Docker-ready and supports public chat sharing

Python · HTMLGPL-3.0★ 224 stars⑂ 42 forkssince Nov 2025View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined

GeiserX/Telegram-Archive holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Community & Adoption (62/100). It was last updated today. 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

Sergio FernándezPersonal account
137 followers290 public repossince Oct 2014

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItelegram-archive9.3.32,794100 days agotelegrambackuparchivedockertelethon

Metrics by category

Vitality

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

96Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 801 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year801
human_commit_share0.97
days_since_last_push0
active_weeks_last_year44

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv9.3.3
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.5
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?

62Moderate · 17% of overall
How it's scored
38.1/60Stars — 224 stars
13.4/25Forks — 42 forks
0/15Watchers — 2 watchers
Inputs used
forks42
stars224
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateyes
How it's scored
46/80Monthly downloads — 2,794 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestelegram-archive
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,794
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?

67Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.4/22.5Commit distribution — top contributor authored 94% of commits
13.5/13.5Contributor breadth — 16 contributors
10/10OpenSSF Scorecard: Contributors — project has 28 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled16
top_contributor_share0.938
How it's scored
42/42Issue resolution — 100% of issues closed
28.6/30PR acceptance — 429/450 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/29 approved changesets -- score normalized to 0
Inputs used
merged_prs429
open_issues0
closed_issues122
prs_merged_7d5
prs_decided_7d5
prs_merged_30d58
prs_decided_30d58
issue_closed_ratio1
closed_unmerged_prs21
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.4/25Owner reach — 137 followers of GeiserX
25/25Track record — 290 public repos, account ~12 yr old
Inputs used
followers137
owner_typeUser
is_verified—
owner_loginGeiserX
public_repos290
account_age_days4,382
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 10 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestelegram-archive
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://geiserx.github.io/Telegram-Archive/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsarchive, backup, docker, telegram, chat-history, homelab, incremental-backup, media, self-hosted, telegram-backup, web-viewer, chat-export, datahoarder, digital-preservation, telegram-archive, telegram-downloader, telegram-export, telegram-viewer, telethon, chat-archive
has_wikino
homepagehttps://geiserx.github.io/Telegram-Archive/
docs_sitehttps://geiserx.github.io/Telegram-Archive/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all 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 2/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 28 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 28 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
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_aggregate6.9
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages81
unassessed_packages21
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 81 resolved dependencies against OSV. 21 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

66Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 97 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes20,735
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.03
How it's scored
0/45Type-checkable code — Python without a type-check config
51/55Manageable file sizes — 26/359 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes515,913
source_files_sampled359
oversized_source_files26

Key facts

224GitHub stars
16contributors
801commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:telegram-archive@9.3.3; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 42 ⇿
0Stars
42Forks
98Releases

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.

010203040504222025-122026-052026-10
Major 2Minor 43Patch 53
OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-10-12 19:02 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all 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 2/29 approved changesets -- score normalized to 0
10Contributorsproject has 28 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 28 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 22
RegistryPackageVersion constraintManifest
PyPItelethon>=1.44.0pyproject.toml
PyPIpython-socks>=2.7.1pyproject.toml
PyPIAPScheduler>=3.10.4pyproject.toml
PyPIpython-dotenv>=1.0.1pyproject.toml
PyPIcryptg>=0.4.0pyproject.toml
PyPIfastapi>=0.115.0pyproject.toml
PyPIuvicorn>=0.32.0pyproject.toml
PyPIjinja2>=3.1.4pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIwebsockets>=12.0pyproject.toml
PyPIsqlalchemy>=2.0.36pyproject.toml
PyPIaiosqlite>=0.20.0pyproject.toml
PyPIasyncpg>=0.30.0pyproject.toml
PyPIpsycopg2-binary>=2.9.9pyproject.toml
PyPIalembic>=1.14.0pyproject.toml
PyPIgreenlet>=3.1.0pyproject.toml
PyPIbeautifulsoup4>=4.12.0pyproject.toml
PyPIijson>=3.5.1pyproject.toml
PyPIpywebpush>=2.3.0pyproject.toml
PyPIpy-vapid>=1.9.4pyproject.toml
PyPIcryptography>=50.0.0pyproject.toml
PyPIPillow>=12.3.0pyproject.toml
All dependencies 102

Full resolved dependency set from the GitHub dependency graph: 43 direct and 59 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiosqlite—direct
PyPIaiosqlite0.22.1direct
PyPIalembic—direct
PyPIalembic1.20.0direct
PyPIapscheduler—direct
PyPIapscheduler3.11.3direct
PyPIasyncpg—direct
PyPIasyncpg0.31.0direct
PyPIbeautifulsoup4—direct
PyPIbeautifulsoup44.15.0direct
PyPIcryptg—direct
PyPIcryptg0.6.0direct
PyPIcryptography—direct
PyPIcryptography50.0.2direct
PyPIfastapi—direct
PyPIfastapi0.142.2direct
PyPIgreenlet—direct
PyPIgreenlet3.5.6direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIijson—direct
PyPIijson3.5.1direct
PyPIjinja2—direct
PyPIjinja23.1.6direct
PyPIpillow12.3.0direct
PyPIpsycopg2-binary—direct
PyPIpsycopg2-binary2.9.13direct
PyPIpy-vapid—direct
PyPIpy-vapid1.9.4direct
PyPIpython-dotenv—direct
PyPIpython-dotenv1.2.4direct
PyPIpython-socks—direct
PyPIpython-socks2.8.1direct
PyPIpywebpush—direct
PyPIpywebpush2.5.0direct
PyPIsqlalchemy—direct
PyPIsqlalchemy2.0.49direct
PyPItelethon—direct
PyPItelethon1.45.0direct
PyPIuvicorn—direct
PyPIuvicorn0.54.0direct
PyPIwebsockets—direct
PyPIwebsockets16.1.1direct
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.0indirect
PyPIdistlib0.4.0indirect
PyPIfilelock3.29.0indirect
PyPIfrozenlist1.8.0indirect
PyPIh110.16.0indirect
PyPIhttp-ece1.2.1indirect
PyPIhttpcore1.0.9indirect
PyPIidentify2.6.19indirect
PyPIidna3.16indirect
PyPIiniconfig2.3.0indirect
PyPImako1.4.3indirect
PyPImarkupsafe3.0.3indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-redirects1.2.3indirect
PyPImultidict6.9.1indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.45.0indirect
PyPIpackaging26.2indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpropcache0.5.2indirect
PyPIpyaes1.6.1indirect
PyPIpyasn10.6.4indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-discovery1.6.1indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIrsa4.9.1indirect
PyPIruff0.16.10indirect
PyPIsoupsieve2.9indirect
PyPIstarlette1.3.1indirect
PyPItelegram-archive9.3.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPItzlocal5.3.1indirect
PyPIurllib32.8.0indirect
PyPIvirtualenv21.14.2indirect
PyPIyarl1.24.2indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 81 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 21 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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.