Run your Machine Learning and Deep Learning workloads at any scale.
bears delivers lightning-fast data-processing, whether you need to run a single row or 100M+ rows.
bears works with your existing data tools while optimizing data-layouts between Pandas, Dask, Torch, Python dicts for maximum performance. Drop-in compatibility with the Pandas API means you can use bears today with zero code changes.
Help build a bears!
See CONTRIBUTING for more information.
License
This project is licensed under the Apache-2.0 License.
2 maintainers
Metadata
2 maintainers
Release files for bears 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bears-0.1.6.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bears-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / bears-0.1.6.tar.gz
| Download URL | bears-0.1.6.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7370d6ab7e49199dc5b131c3b8fd1a4a21c22b565ad5f7932abb8db793bc2f4c
|
|
BLAKE2b-256 checksum How to use checksums |
9e695fc267b6c7c97c3a304c336a1fd3d7ee07a1aa6a9d143776d138eb1f2988
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.11
|
Release files / bears-0.1.6-py3-none-any.whl
| Download URL | bears-0.1.6-py3-none-any.whl |
|---|---|
| Size | 290.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1a1a8c0f0b9775995e76811e55691bfaadbc0fd64f6bc509269d4c909056f526
|
|
BLAKE2b-256 checksum How to use checksums |
28b8fe58043ce8b0de9fcbbde2762f7965ab0b966004c234338fa1a5bde23d17
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.11
|
