Skip to main content

datui

Explore Polars DataFrames, files and URLs in the terminal.

pip install datui

The package installs the datui command and the datui module.

import polars as pl
import datui

url = "https://vincentarelbundock.github.io/Rdatasets/csv/palmerpenguins/penguins.csv"
datui.view(pl.scan_csv(url))           # a LazyFrame, a DataFrame, a path or a URL

result = datui.view(pl.scan_csv(url), capture=True)
if result is not None:
    print(result.collect())            # the query, filters and sort you left on screen

Press q or Ctrl+Q to return to Python. With capture=True, view() returns the final view as a LazyFrame, or None when no dataset was open.

Python API · Documentation · datui --help for the command line.

Metadata

Release files for datui 0.4.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for datui 0.4.2
File
datui-0.4.2-cp38-abi3-win_amd64.whl CPython 3.8 abi3 Windows x86-64 Details
datui-0.4.2-cp38-abi3-manylinux_2_28_x86_64.whl CPython 3.8 abi3 Linux glibc 2.28+ x86-64 Details
datui-0.4.2-cp38-abi3-manylinux_2_28_aarch64.whl CPython 3.8 abi3 Linux glibc 2.28+ ARM64 Details
datui-0.4.2-cp38-abi3-macosx_11_0_arm64.whl CPython 3.8 abi3 macOS 11.0+ ARM64 Details
datui-0.4.2-cp38-abi3-macosx_10_12_x86_64.whl CPython 3.8 abi3 macOS 10.12+ x86-64 Details

Total release size: 450.7 MB

Release files / datui-0.4.2-cp38-abi3-win_amd64.whl

Download URL datui-0.4.2-cp38-abi3-win_amd64.whl
Size 94.6 MB
Tags CPython 3.8 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
656e21a87fb5fb55f6f38a498136be5e805530e3323f324cb8c8a346bbbfe21f
BLAKE2b-256 checksum
How to use checksums
79834a1d703c61a924381048c6ba34f60842d988a50792ad825e16e56bcb3864
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.2-cp38-abi3-manylinux_2_28_x86_64.whl

Download URL datui-0.4.2-cp38-abi3-manylinux_2_28_x86_64.whl
Size 88.2 MB
Tags CPython 3.8 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
bbd292b3c2d5733475ea3259b692bf384a1b9025fc426ea0a71276b28c051bcb
BLAKE2b-256 checksum
How to use checksums
18c0df1c01767c6f657c02a5ca8f4b4b09cbba84ef029dc85d27a49e9bbd1160
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.2-cp38-abi3-manylinux_2_28_aarch64.whl

Download URL datui-0.4.2-cp38-abi3-manylinux_2_28_aarch64.whl
Size 82.6 MB
Tags CPython 3.8 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
e424bb02c6e153fa68a52b489cacdd10e94c877d320fe71426c8b3f38047b04d
BLAKE2b-256 checksum
How to use checksums
135afba35d9e7b3194eeb4a9d8bf01adb43251afb56c0299fac293d09934baa7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.2-cp38-abi3-macosx_11_0_arm64.whl

Download URL datui-0.4.2-cp38-abi3-macosx_11_0_arm64.whl
Size 90.3 MB
Tags CPython 3.8 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
963c22bbb9bdb815f4aa33a02dd65e4477c645b522d9582752446e0b84d1beac
BLAKE2b-256 checksum
How to use checksums
10eba9790fe7472157c9828f1cc57a2aa6484835a459ac9c8f71d8baebd71bf0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.2-cp38-abi3-macosx_10_12_x86_64.whl

Download URL datui-0.4.2-cp38-abi3-macosx_10_12_x86_64.whl
Size 95.1 MB
Tags CPython 3.8 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
a7ab69d6fd8816d05df7a5e1319c99843dc8b14bdcc79fe3d3ebe6e29ba1171f
BLAKE2b-256 checksum
How to use checksums
68531923b81d0c55b5c7e24b9c5596c3acb85a1c8db071d5982aadc9a5744a53
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Security for datui 0.4.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page