sebastienrousseau/bankstatementparser holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Sustainability & Governance (54/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.
84
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.
84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).
Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25
Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40
No advisories left outstanding — no advisory carries a publication date
Inputs used
source
osv
advisories
0
affected_packages
0
assessed_packages
13
unassessed_packages
0
affected_by_severity
none
direct_affected_packages
0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:bankstatementparser@0.0.19 runtime dependency closure — what installing the published package pulls in — 13 packages. 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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
pypi download statistics for 'bankstatementparser' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
More detail
Star and fork history 0 ★ / 11 ⇿
0Stars
11Forks
10Releases
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 0Patch 10
Each point covers 2 days.
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 · 2026-09-14 22:48 UTC
Full resolved dependency set from the GitHub dependency graph: 14 direct and 115 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
Registry
Package
Version
Relation
PyPI
defusedxml
0.7.1
direct
PyPI
fastapi
0.141.1
direct
PyPI
litellm
1.98.0
direct
PyPI
lxml
6.1.1
direct
PyPI
lxml
6.1.2
direct
PyPI
openpyxl
3.1.5
direct
PyPI
pandas
2.3.3
direct
PyPI
pdfplumber
0.11.10
direct
PyPI
polars
1.43.2
direct
PyPI
pyarrow
25.0.1
direct
PyPI
pydantic
2.13.4
direct
PyPI
pypdf
6.16.1
direct
PyPI
pypdfium2
5.13.0
direct
PyPI
uvicorn
0.52.4
direct
PyPI
aiohappyeyeballs
2.6.2
indirect
PyPI
aiohttp
3.14.3
indirect
PyPI
aiosignal
1.4.0
indirect
PyPI
annotated-doc
0.0.4
indirect
PyPI
annotated-types
0.7.0
indirect
PyPI
anyio
4.13.0
indirect
PyPI
ast-serialize
0.8.0
indirect
PyPI
async-timeout
5.0.1
indirect
PyPI
attrs
26.1.0
indirect
PyPI
babel
2.18.0
indirect
PyPI
backrefs
7.0
indirect
PyPI
bandit
1.9.4
indirect
PyPI
boto3
1.43.80
indirect
PyPI
botocore
1.43.80
indirect
PyPI
certifi
2026.5.20
indirect
PyPI
cffi
2.0.0
indirect
PyPI
charset-normalizer
3.4.7
indirect
PyPI
click
8.4.2
indirect
PyPI
colorama
0.4.6
indirect
PyPI
coverage
7.15.4
indirect
PyPI
cryptography
50.0.0
indirect
PyPI
distro
1.9.0
indirect
PyPI
et-xmlfile
2.0.0
indirect
PyPI
exceptiongroup
1.3.1
indirect
PyPI
fastuuid
0.14.0
indirect
PyPI
filelock
3.29.3
indirect
PyPI
frozenlist
1.8.0
indirect
PyPI
fsspec
2026.4.0
indirect
PyPI
ghp-import
2.1.0
indirect
PyPI
griffelib
2.0.2
indirect
PyPI
h11
0.16.0
indirect
PyPI
hf-xet
1.5.1
indirect
PyPI
httpcore
1.0.9
indirect
PyPI
httpx
0.28.1
indirect
PyPI
huggingface-hub
1.18.0
indirect
PyPI
hypothesis
6.165.1
indirect
PyPI
hypothesis
6.165.10
indirect
PyPI
idna
3.18
indirect
PyPI
importlib-metadata
8.9.0
indirect
PyPI
iniconfig
2.3.0
indirect
PyPI
interrogate
1.7.0
indirect
PyPI
jinja2
3.1.6
indirect
PyPI
jiter
0.15.0
indirect
PyPI
jmespath
1.1.0
indirect
PyPI
jsonschema
4.26.0
indirect
PyPI
jsonschema-specifications
2025.9.1
indirect
PyPI
librt
0.13.0
indirect
PyPI
markdown
3.10.2
indirect
PyPI
markdown-it-py
4.2.0
indirect
PyPI
markupsafe
3.0.3
indirect
PyPI
mdurl
0.1.2
indirect
PyPI
mergedeep
1.3.4
indirect
PyPI
mkdocs
1.6.1
indirect
PyPI
mkdocs-autorefs
1.4.4
indirect
PyPI
mkdocs-get-deps
0.2.2
indirect
PyPI
mkdocs-material
9.7.7
indirect
PyPI
mkdocs-material-extensions
1.3.1
indirect
PyPI
mkdocstrings
1.0.6
indirect
PyPI
mkdocstrings-python
2.0.4
indirect
PyPI
multidict
6.7.1
indirect
PyPI
mypy
2.3.1
indirect
PyPI
mypy-extensions
1.1.0
indirect
PyPI
numpy
2.2.6
indirect
PyPI
openai
2.41.1
indirect
PyPI
packaging
26.3
indirect
PyPI
paginate
0.5.7
indirect
PyPI
pathspec
1.1.1
indirect
PyPI
pdfminer-six
20260107
indirect
PyPI
pillow
12.3.0
indirect
PyPI
platformdirs
4.10.0
indirect
PyPI
pluggy
1.6.0
indirect
PyPI
polars-runtime-32
1.43.2
indirect
PyPI
propcache
0.5.2
indirect
PyPI
py
1.11.0
indirect
PyPI
py-cpuinfo
9.0.0
indirect
PyPI
pycparser
3.0
indirect
PyPI
pydantic-core
2.48.0
indirect
PyPI
pydantic-settings
2.15.0
indirect
PyPI
pygments
2.21.0
indirect
PyPI
pymdown-extensions
11.0.1
indirect
PyPI
pytest
9.1.1
indirect
PyPI
pytest-benchmark
5.2.3
indirect
PyPI
pytest-cov
7.1.0
indirect
PyPI
python-dateutil
2.9.0.post0
indirect
PyPI
python-dotenv
1.2.2
indirect
PyPI
pytz
2026.2
indirect
PyPI
pyyaml
6.0.3
indirect
PyPI
pyyaml-env-tag
1.1
indirect
PyPI
referencing
0.37.0
indirect
PyPI
regex
2026.5.9
indirect
PyPI
requests
2.34.2
indirect
PyPI
rich
15.0.0
indirect
PyPI
rpds-py
0.30.0
indirect
PyPI
ruff
0.16.1
indirect
PyPI
ruff
0.16.4
indirect
PyPI
s3transfer
0.19.2
indirect
PyPI
shellingham
1.5.4
indirect
PyPI
six
1.17.0
indirect
PyPI
sniffio
1.3.1
indirect
PyPI
sortedcontainers
2.4.0
indirect
PyPI
starlette
1.3.1
indirect
PyPI
stevedore
5.8.0
indirect
PyPI
tabulate
0.10.0
indirect
PyPI
tiktoken
0.13.0
indirect
PyPI
tokenizers
0.23.1
indirect
PyPI
tomli
2.4.1
indirect
PyPI
tqdm
4.68.2
indirect
PyPI
typer
0.25.1
indirect
PyPI
typing-extensions
4.16.0
indirect
PyPI
typing-inspection
0.4.4
indirect
PyPI
tzdata
2026.3
indirect
PyPI
urllib3
2.7.0
indirect
PyPI
watchdog
6.0.0
indirect
PyPI
yarl
1.24.2
indirect
PyPI
zipp
4.1.0
indirect
Dependency advisories 0
Installing pypi:bankstatementparser@0.0.19 pulls in 13 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.
Related records
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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.