Public recordExceptional
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 09:03 UTC
lightseekorg / tokenspeed
TokenSpeed is a speed-of-light LLM inference engine.
lightseekorg/tokenspeed holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Security (57/100). It was last updated today. 6 contributors account for most of its recent work.
94
overall / 100Software 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.
94
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)
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).
Ownership
LightSeek FoundationOrganization · verified domain
201 followers6 public repossince Oct 2025
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | tokenspeed | 0.1.0 | 215 | 1 | 50 days ago |
| PyPI | tokenspeed-mla | 0.2.7 | 1,674,562 | 16 | 3 days ago |
| PyPI | tokenspeed-scheduler | 0.1.14 | 4,548 | 15 | 0 days ago |
| PyPI | tokenspeed-kernel-amd | 0.1.3 | 95 | 4 | 52 days ago |
| PyPI | tokenspeed-kernel-npu | 0.0.1 | 128 | 1 | 22 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
80
Development activity
77Good
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 13.2/36 | Commit cadence — 19/52 weeks with commits |
| 18/18 | Commit volume — 1,132 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 1,132 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 19 |
Release discipline
84Excellent
How it's scored
| 27/27 | Ships releases — 1 releases published |
| 36/36 | Release recency — latest release 49 days ago |
| 12.6/27 | Release cadence — cadence unknown (single release) |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 1 |
| latest_release_tag | v0.1.0 |
| releases_from_tags | no |
| days_since_latest_release | 49 |
| mean_days_between_releases | — |
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?
89
Popularity & adoption
80Excellent
How it's scored
| 53.9/60 | Stars — 2,116 stars |
| 20.4/25 | Forks — 280 forks |
| 5.8/15 | Watchers — 12 watchers |
Inputs used
| forks | 280 |
| stars | 2,116 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| readme_badges | 0 |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| readme_badge_services | — |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
100Exceptional
How it's scored
| 80/80 | Monthly downloads — 1,675,000 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | tokenspeed, tokenspeed-mla, tokenspeed-kernel-amd, tokenspeed-kernel-npu |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1,675,000 |
| unverified_packages_excluded | tokenspeed-scheduler |
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?
84
Maintainer resilience (bus factor)
89Excellent
How it's scored
| 48.6/54 | Bus factor — 6 contributor(s) cover half of all commits |
| 16.9/22.5 | Commit distribution — top contributor authored 25% of commits |
| 13.5/13.5 | Contributor breadth — 76 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 24 contributing companies or organizations |
Inputs used
| bus_factor | 6 |
| contributors_sampled | 76 |
| top_contributor_share | 0.248 |
How it's scored
| 31/42 | Issue resolution — 74% of issues closed |
| 24.1/30 | PR acceptance — 1,150/1,430 decided PRs merged |
| 8.7/13 | Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 25/30 approved changesets -- score normalized to 8 |
Inputs used
| merged_prs | 1,150 |
| open_issues | 15 |
| closed_issues | 42 |
| prs_merged_7d | 54 |
| prs_decided_7d | 60 |
| prs_merged_30d | 54 |
| prs_decided_30d | 60 |
| issue_closed_ratio | 0.737 |
| closed_unmerged_prs | 280 |
| first_time_authors_30d | 3 |
| first_time_prs_merged_30d | 2 |
| first_time_prs_decided_30d | 3 |
Ownership & stewardship
74Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 20/20 | Verified domain |
| 16.6/25 | Owner reach — 201 followers of lightseekorg |
| 7.9/25 | Track record — 6 public repos, account ~0 yr old |
Inputs used
| followers | 201 |
| owner_type | Organization |
| is_verified | yes |
| owner_login | lightseekorg |
| public_repos | 6 |
| account_age_days | 328 |
Package maintenance
100Exceptional
How it's scored
| 25/25 | Published & resolvable — 5 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 16 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | tokenspeed, tokenspeed-mla, tokenspeed-scheduler, tokenspeed-kernel-amd, tokenspeed-kernel-npu |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
96
Engineering practices
94Exceptional
How it's scored
| 24/24 | CI workflows — 35 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — tokenspeed-scheduler/pyproject.toml ([tool.ruff]) |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Exceptional
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://lightseek.org/blog/lightseek-tokenspeed.html |
| 10/10 | Repository description |
| 10/10 | Topics — 19 topics |
| 10/10 | Wiki |
Inputs used
| topics | deepseek, gpt-oss, kimi, lightseek, llm, minimax, qwen, speed-of-light, tokenspeed, blackwell, glm, vlm, inkling, b200, b300, gb200, gb300, mi355x, mi455x |
| has_wiki | yes |
| homepage | https://lightseek.org/blog/lightseek-tokenspeed.html |
| docs_site | https://lightseek.org/blog/lightseek-tokenspeed.html |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
57
Security posture
54Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 25/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 24 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 10 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5.4 |
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
Dependency advisories
68Good
How it's scored
| 20.2/35 | Direct dependencies free of known advisories — 1 affected: torch 2.11.0 (moderate 5.3) |
| 12.8/25 | Indirect dependencies free of known advisories — 1 affected: setuptools 81.0.0 (moderate 6.1) |
| 35.3/40 | No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 529 days ago |
Inputs used
| source | osv |
| advisories | 3 |
| affected_packages | 2 |
| assessed_packages | 156 |
| unassessed_packages | 0 |
| affected_by_severity | moderate 2 |
| direct_affected_packages | 1 |
Matched the pypi:tokenspeed@0.1.0 runtime dependency closure — what installing the published package pulls in — 156 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.
58
Agent context & guidance
85Excellent
How it's scored
| 45/45 | Agent instructions — AGENTS.md, CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| llms_txt_url | — |
| legible_history_share | 1 |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 5,336 |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — tokenspeed-scheduler/pyproject.toml ([tool.ruff]) |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile |
| 4/10 | Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0.02 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
53Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 53.2/55 | Manageable file sizes — 51/1,562 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 306,969 |
| source_files_sampled | 1,562 |
| oversized_source_files | 51 |
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — recipes |
Inputs used
| example_dirs | recipes |
| has_mcp_signal | no |
| api_schema_files | — |
| interfaces_expected_of | network-service |
Key facts
2,116GitHub stars
76contributors
1,132commits, last 12 months
0days since last push
1releases
6bus factor
15open issues
npm, 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 23 authors (cap 12)
- pypi download statistics for 'tokenspeed-mla' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
- pypi download figures for tokenspeed-mla carried forward from the previous scan (stats endpoint unavailable this scan)
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
More detail
Star and fork history 0 ★ / 280 ⇿
0Stars
280Forks
1Releases
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.
Major 0Minor 1Patch 0
OpenSSF Scorecard 5.4 / 10
5.4aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 25/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 24 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 10 existing vulnerabilities detected |
Direct dependencies 57
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | aiohttp | — | python/pyproject.toml |
| PyPI | compressed-tensors | — | python/pyproject.toml |
| PyPI | dill | — | python/pyproject.toml |
| PyPI | einops | — | python/pyproject.toml |
| PyPI | fastapi | — | python/pyproject.toml |
| PyPI | grpcio-health-checking | ==1.81.1 | python/pyproject.toml |
| PyPI | grpcio-reflection | ==1.81.1 | python/pyproject.toml |
| PyPI | hf_transfer | — | python/pyproject.toml |
| PyPI | huggingface_hub | — | python/pyproject.toml |
| PyPI | modelscope | — | python/pyproject.toml |
| PyPI | msgspec | — | python/pyproject.toml |
| PyPI | ninja | — | python/pyproject.toml |
| PyPI | numpy | — | python/pyproject.toml |
| PyPI | openai | >=2.24.1 | python/pyproject.toml |
| PyPI | openai-harmony | — | python/pyproject.toml |
| PyPI | orjson | — | python/pyproject.toml |
| PyPI | packaging | — | python/pyproject.toml |
| PyPI | partial-json-parser | — | python/pyproject.toml |
| PyPI | peft | — | python/pyproject.toml |
| PyPI | pillow | — | python/pyproject.toml |
| PyPI | prometheus-client | — | python/pyproject.toml |
| PyPI | psutil | — | python/pyproject.toml |
| PyPI | pybase64 | — | python/pyproject.toml |
| PyPI | pybind11 | — | python/pyproject.toml |
| PyPI | pydantic | — | python/pyproject.toml |
| PyPI | py-spy | — | python/pyproject.toml |
| PyPI | pytest-asyncio | — | python/pyproject.toml |
| PyPI | python-multipart | — | python/pyproject.toml |
| PyPI | pyzmq | — | python/pyproject.toml |
| PyPI | requests | — | python/pyproject.toml |
| PyPI | setproctitle | — | python/pyproject.toml |
| PyPI | tiktoken | — | python/pyproject.toml |
| PyPI | torch | — | python/pyproject.toml |
| PyPI | torchvision | — | python/pyproject.toml |
| PyPI | tokenspeed-kernel | >=0.1.3.dev0 | python/pyproject.toml |
| PyPI | tokenspeed-mooncake | >=0.3.13.post20260825 | python/pyproject.toml |
| PyPI | tokenspeed-scheduler | >=0.1.14 | python/pyproject.toml |
| PyPI | tokenspeed-smg | ==1.10.1.post20260906 | python/pyproject.toml |
| PyPI | tokenspeed-smg-grpc-proto | ==0.4.16.post20260906 | python/pyproject.toml |
| PyPI | tokenspeed-smg-grpc-servicer | ==0.9.1.post20260906 | python/pyproject.toml |
| PyPI | torch_memory_saver | ==0.0.9.post1 | python/pyproject.toml |
| PyPI | tqdm | — | python/pyproject.toml |
| PyPI | transformers | ==5.12.0 | python/pyproject.toml |
| PyPI | uv | — | python/pyproject.toml |
| PyPI | uvicorn | — | python/pyproject.toml |
| PyPI | uvloop | — | python/pyproject.toml |
| PyPI | xgrammar | ==0.2.3 | python/pyproject.toml |
| PyPI | viztracer | — | python/pyproject.toml |
| PyPI | torch | — | tokenspeed-kernel-amd/pyproject.toml |
| PyPI | tokenspeed-triton | >=3.8.10.post20260906 | tokenspeed-kernel-amd/pyproject.toml |
| PyPI | torch | — | tokenspeed-kernel-npu/pyproject.toml |
| PyPI | triton-ascend | ==3.2.1 | tokenspeed-kernel-npu/pyproject.toml |
| PyPI | apache-tvm-ffi | ==0.1.13.post3 | tokenspeed-mla/pyproject.toml |
| PyPI | nvidia-cutlass-dsl | — | tokenspeed-mla/pyproject.toml |
| PyPI | tokenspeed-triton | >=3.8.10.post20260906 | tokenspeed-mla/pyproject.toml |
| PyPI | torch | — | tokenspeed-mla/pyproject.toml |
| PyPI | numpy | — | tokenspeed-scheduler/pyproject.toml |
All dependencies not collected
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Dependency advisories 2
Installing pypi:tokenspeed@0.1.0 pulls in 156 packages, direct and transitive: 2 carry known advisories, of which 1 are direct dependencies.
| Package | Version | Relation | Severity | Advisories | Fixed in |
|---|---|---|---|---|---|
| torch | 2.11.0 | direct | moderate | 1 | 2.13.0 |
| setuptools | 81.0.0 | indirect | moderate | 2 | 83.0.0 |
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.
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.