IOFrame
IOFrame is a small Python package that provides a unified API to write and read Pandas DataFrames through various file formats (CSV, Parquet, Feather, etc.), and different engines (Pandas, PyArrow, FastParquet, etc.).
The library also provides an experimental API to measure performance metrics on these operations (read time, write time, space usage).
| Link | Description |
|---|---|
| 📖 Full Documentation | The complete guide to installation, configuration, and concepts. |
| 🚀 User Guide | The fastest way to get a working example running. |
| 💡 Contributing Guide | Learn how to set up a development environment and contribute to the project. |
| 🐛 Report a Bug | Found an issue? Let us know by creating a bug report. |
| 📜 Changelog | See the latest changes from the release page |
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Release files for ioframe 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ioframe-0.1.2.tar.gz | 27.6 kB | Without provenance | Details for ioframe-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ioframe-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for ioframe-0.1.2-py3-none-any.whl |
Total release size: 79.6 kB
Release files / ioframe-0.1.2.tar.gz
| Download URL | ioframe-0.1.2.tar.gz |
|---|---|
| Size | 27.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.8
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Release files / ioframe-0.1.2-py3-none-any.whl
| Download URL | ioframe-0.1.2-py3-none-any.whl |
|---|---|
| Size | 52.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.8
|
Security for ioframe 0.1.2
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None of the files in this release were uploaded with provenance metadata.
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