# jazzband/tablib

Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.

Repository: https://github.com/jazzband/tablib
Canonical: https://ross.abutalabs.com/products/tablib
Homepage: https://tablib.readthedocs.io/
Language: Python
License: MIT
License Family: permissive
Last push: 2026-07-31T18:49:57+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 95, release rhythm 63, longevity 100
- inputs: {"age_days": 5638, "days_push": 33, "days_rel": 33, "gap_med": 266, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4756, forks 614 (observed 2026-08-28T04:08:58.885405+00:00)

## What it is
Tablib is a Python library for working with format-agnostic tabular datasets. It lets you build, filter, and convert tabular data across formats like Excel, CSV, JSON, YAML, HTML, LaTeX, ODS, and Pandas DataFrames.

## Use cases
- convert csv files to excel spreadsheets in python
- export tabular data as  yaml or html
- build a dataset in python and export to multiple formats
- read excel files into pandas dataframes
- generate xlsx reports from python data
- import and export ods tsv dbf files

## When to choose
- you need to convert tabular data between many formats with one consistent API
- you want a lightweight pure-Python alternative to heavyweight data tools for simple tabular work
- you need Excel set and book support without writing openpyxl code directly

## When to avoid
- you need large-scale data processing or advanced analytics - use pandas directly
- you need XML support or highly customized spreadsheet formatting
- you need streaming processing of very large files that don't fit in memory

## Facets
- artifact type: library
- maturity: stable
- function: serialization, csv, yaml, data-science
- domain: files, spreadsheets, developer-tools
- platform: python, cross-platform
- tags: tabular-data, excel, dataset, format-conversion, pandas, data-engineering

## Member repositories
- jazzband/tablib (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:58.885405+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:53.046150+00:00, confidence not recorded.
  - readme: https://github.com/jazzband/tablib (fetched 2026-08-28T04:08:58.885405+00:00, sha 2f4d5f22cc50)
  - registry_pypi: https://pypi.org/pypi/tablib/json (fetched 2026-08-29T09:02:51.835136+00:00, sha cad0c131fb95)
- Data as of 2026-08-30T08:39:29.467469+00:00.