Deterministic tabular data profiling and quality-rule engine.
Project description
featuresmith-core
featuresmith-core is the public Python SDK and deterministic analysis engine for Featuresmith.
It provides:
featuresmith.load()for local CSV, Excel, Parquet, pandas, and Polars sources.featuresmith.profile()for reproducible tabular profiling.featuresmith.analyze()for data quality and leakage rule findings.- Typed, serializable result dataclasses and a PEP 561
py.typedmarker.
Install featuresmith-core directly from PyPI:
pip install featuresmith-core
For comprehensive guides and API reference, visit the official website: https://featuresmith.adityagangwani.me
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file featuresmith_core-0.1.0.tar.gz.
File metadata
- Download URL: featuresmith_core-0.1.0.tar.gz
- Upload date:
- Size: 30.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ade58d91425650959709bf33d93b95b8f1585ad601dcc303e14d6efe59920c36
|
|
| MD5 |
cb15f38f7c85f1306e58e7bb5ca8fb33
|
|
| BLAKE2b-256 |
b76e65e82305c537de0e29b585adb06fa8ef14c4529504c390cbf7e0d1bba7e1
|
File details
Details for the file featuresmith_core-0.1.0-py3-none-any.whl.
File metadata
- Download URL: featuresmith_core-0.1.0-py3-none-any.whl
- Upload date:
- Size: 46.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f376cacbaf8599b5a6da8bb4cbdc615a0a1a49151c9c33f5d72eee4cd32c21ee
|
|
| MD5 |
3517e6bc2e094d8d070b91b1417001ac
|
|
| BLAKE2b-256 |
cb9eb91d02ee974c831c4d04b348e1b2bbbda2424a85b681ff63977556cd88f1
|
