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 0.4.3

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 0.4.3
File
datui-0.4.3-cp38-abi3-win_amd64.whl CPython 3.8 abi3 Windows x86-64 Details
datui-0.4.3-cp38-abi3-manylinux_2_28_x86_64.whl CPython 3.8 abi3 Linux glibc 2.28+ x86-64 Details
datui-0.4.3-cp38-abi3-manylinux_2_28_aarch64.whl CPython 3.8 abi3 Linux glibc 2.28+ ARM64 Details
datui-0.4.3-cp38-abi3-macosx_11_0_arm64.whl CPython 3.8 abi3 macOS 11.0+ ARM64 Details
datui-0.4.3-cp38-abi3-macosx_10_12_x86_64.whl CPython 3.8 abi3 macOS 10.12+ x86-64 Details

Total release size: 452.2 MB

Release files / datui-0.4.3-cp38-abi3-win_amd64.whl

Download URL datui-0.4.3-cp38-abi3-win_amd64.whl
Size 94.8 MB
Tags CPython 3.8 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
93c95b8e9179095053fead6aee60350a651da66f5cea5634e04ee8a9ae2d3049
BLAKE2b-256 checksum
How to use checksums
d480dce3bd62254d47ed8585cfefbe6986db22509ca799435b46d083516dbbfc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.3-cp38-abi3-manylinux_2_28_x86_64.whl

Download URL datui-0.4.3-cp38-abi3-manylinux_2_28_x86_64.whl
Size 88.5 MB
Tags CPython 3.8 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
b14126abe000c5410f22d4936e90848c6b6b9a0d03533a60075385953d7a2294
BLAKE2b-256 checksum
How to use checksums
0ff220a2e6ddb39bc968ad46bed007c450fd9e7d88c85a79c6ddc13939a42e0a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.3-cp38-abi3-manylinux_2_28_aarch64.whl

Download URL datui-0.4.3-cp38-abi3-manylinux_2_28_aarch64.whl
Size 82.9 MB
Tags CPython 3.8 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
f1c9b95ac476ea95a1afcc2ff333292146334b568050cd85980662cb854ef285
BLAKE2b-256 checksum
How to use checksums
152dac55e5787f54837b9e24ea5323650089fba6706fcb24915aeb23ce606e23
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.3-cp38-abi3-macosx_11_0_arm64.whl

Download URL datui-0.4.3-cp38-abi3-macosx_11_0_arm64.whl
Size 90.6 MB
Tags CPython 3.8 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
8dfd24493cde36b7ae6204540a34462e270b96d80024d4b61e131dadcfd46cc0
BLAKE2b-256 checksum
How to use checksums
ce1543e22c6297ae407e270815215f3cf618de4315952fbebb577e3f534dc5f9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Release files / datui-0.4.3-cp38-abi3-macosx_10_12_x86_64.whl

Download URL datui-0.4.3-cp38-abi3-macosx_10_12_x86_64.whl
Size 95.4 MB
Tags CPython 3.8 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
5761a9a8e55b278fae6dfb7a8e9c579e31f23cb54cc3c51285a9c61fe46d7576
BLAKE2b-256 checksum
How to use checksums
863c49acbee7f663cb187befb952e25d051789bce61b5ee392d6c4515196143a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.3

Security for datui 0.4.3

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