pantab
Converts pandas DataFrames into Tableau Hyper Extracts and back
Decision gist · record as of 2026-08-14
Yes. pantab is actively maintained, has no known vulnerabilities, and solves a specific integration problem between Python and Tableau with a permissive license. The medium install friction (compiled wheels) is standard for this type of package. Install it if you regularly move data between Python and Tableau; skip it if you don't work with Hyper files.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires pyarrow as a runtime dependency; Tableau Hyper library is bundled in the wheel.
- Medium install friction due to compiled wheels for specific Python versions and platforms.
- Active maintenance with recent release 128 days ago and ongoing repository activity; supports Python 3.11 through 3.14.
License · maintenance · safety
permissive license (permissive) — Distributed under BSD 3-Clause (permissive). Binary distributions include Tableau Hyper library under Apache 2.0, so combined use is compatible with most open-source and commercial projects.
last release 2026-04-08 (128 days) · last repo commit 2026-04-08 · 123 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 192,933 downloads/mo, #9,856 on PyPI
Alternatives
Verify before relying
import pantab
import pyarrow
# Convert to Hyper
pantab.frame_to_hyper(df, 'output.hyper')
# Convert from Hyper
df_loaded = pantab.hyper_to_frame('output.hyper')- Performance characteristics when handling large DataFrames or complex data types
- Specific Tableau version compatibility guarantees for generated Hyper files
- Whether all data types map cleanly to Hyper schema without data loss
What it is and what it does
pantab is a bridge between DataFrames and Tableau's Hyper Extract format. It lets you serialize a DataFrame directly to a .hyper file that Tableau can ingest, or load an existing Hyper file back into a DataFrame. The package wraps Tableau's Hyper library (included in the binary distribution) and handles the schema mapping and serialization details.
It's primarily useful in data pipelines where you're preparing data in Python and need to feed it into Tableau for visualization, or where you're reading Tableau extracts back into Python for analysis. The package depends on pyarrow for columnar data handling and supports Python 3.11 through 3.14 on macOS, Linux, and Windows.
Use it for
- Export a DataFrame to a Tableau Hyper file for direct ingestion into Tableau dashboards
- Load a Tableau Hyper Extract into a DataFrame for post-processing or analysis in Python
- Automate data pipeline steps that bridge Python data preparation and Tableau reporting workflows
- Convert tabular data from Python analysis into Tableau-ready format without manual export steps
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
pantab is actively maintained, has no known vulnerabilities, and solves a specific integration problem between Python and Tableau with a permissive license. The medium install friction (compiled wheels) is standard for this type of package. Install it if you regularly move data between Python and Tableau; skip it if you don't work with Hyper files.
Install
pantab on PyPI
Before you install
Medium install friction due to compiled wheels for specific Python versions and platforms. Active maintenance with recent release 128 days ago and ongoing repository activity; supports Python 3.11 through 3.14.
Requires pyarrow as a runtime dependency; Tableau Hyper library is bundled in the wheel.
License in practice
Distributed under BSD 3-Clause (permissive). Binary distributions include Tableau Hyper library under Apache 2.0, so combined use is compatible with most open-source and commercial projects.
Quickstart
import pantab
import pyarrow
# Convert to Hyper
pantab.frame_to_hyper(df, 'output.hyper')
# Convert from Hyper
df_loaded = pantab.hyper_to_frame('output.hyper')Verify before relying
- Performance characteristics when handling large DataFrames or complex data types
- Specific Tableau version compatibility guarantees for generated Hyper files
- Whether all data types map cleanly to Hyper schema without data loss
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagepyarrow |
| Maintenance | Actively maintained 128 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 192,933 / month, #9,856 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Office/Business |
Evidence: pantab-5.3.0-cp311-cp311-macosx_13_0_arm64.whl; pantab-5.3.0-cp311-cp311-macosx_13_0_x86_64.whl; pantab-5.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; pantab-5.3.0-cp311-cp311-win_amd64.whl; pantab-5.3.0-cp312-cp312-macosx_13_0_arm64.whl; pantab-5.3.0-cp312-cp312-macosx_13_0_x86_64.whl; pantab-5.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; pantab-5.3.0-cp312-cp312-win_amd64.whl; pantab-5.3.0-cp313-cp313-macosx_13_0_arm64.whl; pantab-5.3.0-cp313-cp313-macosx_13_0_x86_64.whl; pantab-5.3.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; pantab-5.3.0-cp313-cp313-win_amd64.whl; pantab-5.3.0-cp314-cp314-macosx_13_0_arm64.whl; pantab-5.3.0-cp314-cp314-macosx_13_0_x86_64.whl; pantab-5.3.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; pantab-5.3.0-cp314-cp314t-macosx_13_0_arm64.whl; pantab-5.3.0-cp314-cp314t-macosx_13_0_x86_64.whl; pantab-5.3.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; pantab-5.3.0-cp314-cp314t-win_amd64.whl; pantab-5.3.0-cp314-cp314-win_amd64.whl
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