Format agnostic tabular data library (XLS, JSON, YAML, CSV, etc.)
Project description
Tablib: format-agnostic tabular dataset library
_____ ______ ___________ ______
__ /_______ ____ /_ ___ /___(_)___ /_
_ __/_ __ `/__ __ \__ / __ / __ __ \
/ /_ / /_/ / _ /_/ /_ / _ / _ /_/ /
\__/ \__,_/ /_.___/ /_/ /_/ /_.___/
Tablib is a format-agnostic tabular dataset library, written in Python.
Output formats supported:
- Excel (Sets + Books)
- JSON (Sets + Books)
- YAML (Sets + Books)
- Pandas DataFrames (Sets)
- HTML (Sets)
- Jira (Sets)
- LaTeX (Sets)
- TSV (Sets)
- ODS (Sets)
- CSV (Sets)
- DBF (Sets)
- SQL (Sets)
Note that tablib purposefully excludes XML support. It always will. (Note: This is a joke. Pull requests are welcome.)
Tablib documentation is graciously hosted on https://tablib.readthedocs.io
It is also available in the docs directory of the source distribution.
Make sure to check out Tablib on PyPI!
Contribute
Please see the contributing guide.
Project details
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 tablib-3.9.0.tar.gz.
File metadata
- Download URL: tablib-3.9.0.tar.gz
- Upload date:
- Size: 125.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1b6abd8edb0f35601e04c6161d79660fdcde4abb4a54f66cc9f9054bd55d5fe2
|
|
| MD5 |
eeb21057e2f6b33f81beac548df01660
|
|
| BLAKE2b-256 |
1100416d2ba54d7d58a7f7c61bf62dfeb48fd553cf49614daf83312f2d2c156e
|
File details
Details for the file tablib-3.9.0-py3-none-any.whl.
File metadata
- Download URL: tablib-3.9.0-py3-none-any.whl
- Upload date:
- Size: 49.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eda17cd0d4dda614efc0e710227654c60ddbeb1ca92cdcfc5c3bd1fc5f5a6e4a
|
|
| MD5 |
1626262b59471251b764aee14744c258
|
|
| BLAKE2b-256 |
666b32e51d847148b299088fc42d3d896845fd09c5247190133ea69dbe71ba51
|