A thread-safe alternative to NASA SPICE toolkit, computing spacecraft, planetary, coordinate frame, instrument transformations, ground station visibility, and orbital elements. Engineered for high-throughput Python concurrent execution and flight software, with proven lunar flight heritage.
Rust · PythonMPL-2.0★ 282 stars⑂ 55 forkssince Dec 2021View on GitHub ↗
nyx-space/anise holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on AI Readiness (68/100). It was last updated today. A single contributor accounts for most of its recent work.
90
overall / 100
Excellent
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.
90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).
Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25
Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40
No advisories left outstanding — no advisory carries a publication date
Inputs used
source
osv
advisories
58
affected_packages
14
assessed_packages
161
unassessed_packages
38
affected_by_severity
critical 1, high 8, moderate 5
direct_affected_packages
0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 161 resolved dependencies against OSV. 38 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.
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.
API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20
MCP server — not applicable to this kind of software
40/40
Runnable examples — notebooks
Inputs used
example_dirs
notebooks
has_mcp_signal
no
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
282GitHub stars
24contributors
694commits, last 12 months
0days since last push
45releases
1bus factor
24open issues
crates.io, PyPIpackage ecosystems
Data collection warnings
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch crates package 'anise-py' from its registry
Could not fetch crates package 'anise-cli' from its registry
Could not fetch crates package 'anise-cpp' from its registry
Could not fetch crates package 'anise-gui' from its registry
More detail
Star and fork history 0 ★ / 55 ⇿
0Stars
55Forks
43Releases
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 10Patch 33
Each point covers 5 days.
OpenSSF Scorecard 6.0 / 10
6.0aggregate
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 · 2026-10-20 09:26 UTC
Full resolved dependency set from the GitHub dependency graph: 22 direct and 177 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
Registry
Package
Version
Relation
crates.io
bytes
—
direct
crates.io
clap
—
direct
crates.io
const_format
—
direct
crates.io
csv
—
direct
crates.io
eframe
—
direct
crates.io
egui
—
direct
crates.io
egui_extras
—
direct
crates.io
egui_logger
—
direct
crates.io
hyperdual
1.5.0
direct
crates.io
indexmap
—
direct
crates.io
platform-dirs
—
direct
crates.io
rayon
—
direct
crates.io
regex
—
direct
crates.io
rfd
—
direct
crates.io
rust-embed
—
direct
crates.io
serde
—
direct
crates.io
serde-lexpr
—
direct
crates.io
serde_derive
—
direct
crates.io
serde_dhall
—
direct
crates.io
sofars
—
direct
crates.io
ureq
—
direct
crates.io
url
—
direct
crates.io
approx
—
indirect
crates.io
criterion
—
indirect
crates.io
cxx-build
—
indirect
crates.io
iai-callgrind
—
indirect
crates.io
libfuzzer-sys
—
indirect
crates.io
polars
—
indirect
crates.io
poll-promise
—
indirect
crates.io
rand
—
indirect
crates.io
rand_pcg
—
indirect
crates.io
rust-spice
—
indirect
crates.io
serde_yml
—
indirect
crates.io
tauri-winres
—
indirect
crates.io
wasm-bindgen-futures
—
indirect
PyPI
anyio
4.12.1
indirect
PyPI
anyio
4.15.1
indirect
PyPI
appnope
1.0.0
indirect
PyPI
argon2-cffi
25.1.0
indirect
PyPI
argon2-cffi-bindings
25.1.0
indirect
PyPI
argon2-cffi-bindings
26.1.0
indirect
PyPI
arrow
1.4.0
indirect
PyPI
asttokens
3.0.2
indirect
PyPI
async-lru
2.0.5
indirect
PyPI
async-lru
2.3.0
indirect
PyPI
attrs
26.1.0
indirect
PyPI
babel
2.18.0
indirect
PyPI
beautifulsoup4
4.15.0
indirect
PyPI
bleach
6.2.0
indirect
PyPI
bleach
6.4.0
indirect
PyPI
certifi
2026.7.22
indirect
PyPI
cffi
2.0.0
indirect
PyPI
cffi
2.1.1
indirect
PyPI
charset-normalizer
3.5.1
indirect
PyPI
colorama
0.4.6
indirect
PyPI
comm
0.2.3
indirect
PyPI
debugpy
1.8.21
indirect
PyPI
decorator
5.3.1
indirect
PyPI
defusedxml
0.7.1
indirect
PyPI
exceptiongroup
1.3.1
indirect
PyPI
executing
2.2.1
indirect
PyPI
fastjsonschema
2.21.2
indirect
PyPI
fastjsonschema
2.22.2
indirect
PyPI
fqdn
1.5.1
indirect
PyPI
h11
0.16.0
indirect
PyPI
httpcore
1.0.9
indirect
PyPI
httpx
0.28.1
indirect
PyPI
hvplot
0.12.2
indirect
PyPI
idna
3.19
indirect
PyPI
importlib-metadata
8.7.1
indirect
PyPI
iniconfig
2.1.0
indirect
PyPI
iniconfig
2.3.0
indirect
PyPI
ipykernel
6.31.0
indirect
PyPI
ipykernel
7.3.0
indirect
PyPI
ipython
8.18.1
indirect
PyPI
ipython
8.39.0
indirect
PyPI
ipython
9.17.1
indirect
PyPI
ipython-pygments-lexers
1.1.1
indirect
PyPI
isoduration
20.11.0
indirect
PyPI
jedi
0.19.2
indirect
PyPI
jedi
0.20.0
indirect
PyPI
jinja2
3.1.6
indirect
PyPI
json5
0.15.0
indirect
PyPI
jsonpointer
3.0.0
indirect
PyPI
jsonpointer
3.1.1
indirect
PyPI
jsonschema
4.25.1
indirect
PyPI
jsonschema
4.26.0
indirect
PyPI
jsonschema-specifications
2025.9.1
indirect
PyPI
jupyter-builder
1.2.3
indirect
PyPI
jupyter-client
8.10.0
indirect
PyPI
jupyter-client
8.6.3
indirect
PyPI
jupyter-core
5.8.1
indirect
PyPI
jupyter-core
5.9.1
indirect
PyPI
jupyter-events
0.12.1
indirect
PyPI
jupyter-lsp
2.3.1
indirect
PyPI
jupyter-server
2.18.2
indirect
PyPI
jupyter-server
2.21.0
indirect
PyPI
jupyter-server-terminals
0.5.4
indirect
PyPI
jupyterlab
4.5.10
indirect
PyPI
jupyterlab
4.6.3
indirect
PyPI
jupyterlab-pygments
0.3.0
indirect
PyPI
jupyterlab-server
2.28.0
indirect
PyPI
lark
1.3.1
indirect
PyPI
markupsafe
3.0.3
indirect
PyPI
matplotlib-inline
0.2.2
indirect
PyPI
maturin
—
indirect
PyPI
maturin
1.15.0
indirect
PyPI
mistune
3.3.4
indirect
PyPI
narwhals
2.0.1
indirect
PyPI
nbclient
0.10.2
indirect
PyPI
nbclient
0.11.0
indirect
PyPI
nbconvert
7.17.1
indirect
PyPI
nbformat
5.10.4
indirect
PyPI
nbformat
5.11.1
indirect
PyPI
nest-asyncio
1.6.0
indirect
PyPI
nest-asyncio2
1.7.2
indirect
PyPI
notebook
—
indirect
PyPI
notebook
7.5.7
indirect
PyPI
notebook
7.6.2
indirect
PyPI
notebook-shim
0.2.4
indirect
PyPI
numpy
—
indirect
PyPI
numpy
2.0.2
indirect
PyPI
numpy
2.2.6
indirect
PyPI
numpy
2.4.6
indirect
PyPI
numpy
2.5.3
indirect
PyPI
overrides
7.7.0
indirect
PyPI
packaging
25.0
indirect
PyPI
packaging
26.3
indirect
PyPI
pandas
2.3.1
indirect
PyPI
pandocfilters
1.5.1
indirect
PyPI
parso
0.8.7
indirect
PyPI
pexpect
4.9.0
indirect
PyPI
platformdirs
4.11.8
indirect
PyPI
platformdirs
4.4.0
indirect
PyPI
plotly
6.2.0
indirect
PyPI
pluggy
1.6.0
indirect
PyPI
polars
1.32.0
indirect
PyPI
prometheus-client
0.26.0
indirect
PyPI
prompt-toolkit
3.0.52
indirect
PyPI
prompt-toolkit
3.0.53
indirect
PyPI
psutil
7.2.2
indirect
PyPI
ptyprocess
0.7.0
indirect
PyPI
pure-eval
0.2.4
indirect
PyPI
pyarrow
21.0.0
indirect
PyPI
pycparser
2.23
indirect
PyPI
pycparser
3.0
indirect
PyPI
pygments
2.21.0
indirect
PyPI
pytest
—
indirect
PyPI
pytest
8.4.2
indirect
PyPI
pytest
9.1.1
indirect
PyPI
python-dateutil
2.9.0.post0
indirect
PyPI
python-json-logger
4.0.0
indirect
PyPI
python-json-logger
4.2.0
indirect
PyPI
pytz
2025.2
indirect
PyPI
pywin32
312
indirect
PyPI
pywinpty
3.0.3
indirect
PyPI
pywinpty
3.0.5
indirect
PyPI
pyyaml
6.0.3
indirect
PyPI
pyzmq
27.2.0
indirect
PyPI
referencing
0.36.2
indirect
PyPI
referencing
0.37.0
indirect
PyPI
requests
2.32.5
indirect
PyPI
requests
2.34.2
indirect
PyPI
rfc3339-validator
0.1.4
indirect
PyPI
rfc3986-validator
0.1.1
indirect
PyPI
rfc3987-syntax
1.1.0
indirect
PyPI
rpds-py
0.27.1
indirect
PyPI
rpds-py
0.30.0
indirect
PyPI
rpds-py
2026.6.3
indirect
PyPI
ruff
0.16.8
indirect
PyPI
send2trash
2.1.0
indirect
PyPI
setuptools
82.0.1
indirect
PyPI
six
1.17.0
indirect
PyPI
soupsieve
2.8.4
indirect
PyPI
soupsieve
2.9.2
indirect
PyPI
spiceypy
6.0.0
indirect
PyPI
spiceypy
8.2.0
indirect
PyPI
stack-data
0.6.3
indirect
PyPI
terminado
0.18.1
indirect
PyPI
tinycss2
1.4.0
indirect
PyPI
tinycss2
1.5.1
indirect
PyPI
tomli
2.4.1
indirect
PyPI
tornado
6.5.9
indirect
PyPI
traitlets
5.15.1
indirect
PyPI
traitlets
5.16.1
indirect
PyPI
typing-extensions
4.16.0
indirect
PyPI
tzdata
2025.2
indirect
PyPI
tzdata
2026.4
indirect
PyPI
uri-template
1.3.0
indirect
PyPI
urllib3
2.6.3
indirect
PyPI
urllib3
2.7.0
indirect
PyPI
wcwidth
0.8.3
indirect
PyPI
webcolors
24.11.1
indirect
PyPI
webcolors
25.10.0
indirect
PyPI
webencodings
0.5.1
indirect
PyPI
webencodings
0.6.1
indirect
PyPI
websocket-client
1.9.0
indirect
PyPI
websocket-client
1.9.2
indirect
PyPI
zipp
3.23.1
indirect
Dependency advisories 14
This repository publishes no package the index resolves, so its own dependency graph was assessed — 161 packages, which also include development and test pins that never ship: 14 carry known advisories, of which 0 are direct. 38 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.
Package
Version
Relation
Severity
Advisories
Fixed in
anyio
4.12.1
indirect
critical
4
4.14.2
jupyter-server
2.18.2
indirect
high
4
2.21.0
jupyterlab
4.5.10
indirect
high
7
7.6.3
jupyterlab
4.6.3
indirect
high
7
7.6.3
notebook
7.5.7
indirect
high
3
7.6.3
notebook
7.6.2
indirect
high
3
7.6.3
pyarrow
21.0.0
indirect
high
2
23.0.1
urllib3
2.6.3
indirect
high
10
2.8.0
urllib3
2.7.0
indirect
high
6
2.8.0
bleach
6.2.0
indirect
moderate
2
6.4.0
pytest
8.4.2
indirect
moderate
2
9.0.3
requests
2.32.5
indirect
moderate
2
2.33.0
setuptools
82.0.1
indirect
moderate
2
83.0.0
soupsieve
2.8.4
indirect
moderate
4
2.9.0
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.
Related records
Inspected repositories sharing catalogue tags or ecosystems with nyx-space/anise. Read them side by side →
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.