Skip to main content

Visualize s3 data

Project description

English | 简体中文

OSS browser based on s3

A visualization tool designed for large language models and machine learning data. It supports cloud storage platforms with S3 protocol (AWS, Alibaba Cloud) and handles various data formats (json, jsonl.gz, warc.gz, md, etc.). Interactive visualization through JSON, Html, Markdown, and image views for efficient data analysis.

Features

  • Supports multiple formats such as JSON, JSONL, WARC, intelligently recognizes data structures and visually presents key information, making data clear at a glance.

  • One-click preview of any field, supports free switching between multiple view modes such as web pages, Markdown, images, simple and intuitive operation.

  • Seamlessly connects with mainstream cloud storage platforms (Alibaba Cloud, AWS, Tencent Cloud, and other cloud storage platforms that support the S3 protocol), supports local file parsing, making data access easy.

https://github.com/user-attachments/assets/aa8ee5e8-c6d3-4b20-ae9d-2ceeb2eb2c41

Getting Started

# python >= 3.9.2
pip install vis3

Or create a Python environment using conda:

Install miniconda

# 1. Create Python 3.11 environment using conda
conda create -n vis3 python=3.11

# 2. Activate environment
conda activate vis3

# 3. Install vis3
pip install vis3

# 4. Launch
vis3

# ----------------

# Default launch doesn't require authentication, if you want to enable authentication to distinguish users
vis3 --auth

# Specify database (sqlite) directory
BASE_DATA_DIR=your/database/path vis3

# Enable authentication through ENABLE_AUTH
ENABLE_AUTH=true vis3

Local Development

conda create -n vis3-dev python=3.11

# Activate virtual environment
conda activate vis3-dev

# Install poetry
# https://python-poetry.org/docs/#installing-with-the-official-installer

# Install Python dependencies
poetry install

# Install frontend dependencies (install pnpm: https://pnpm.io/installation)
cd web && pnpm install

# Build frontend assets (in web directory)
pnpm build

# Start vis3
uvicorn vis3.main:app --reload

React Component

We provide a standalone React component via npm for customizing your data preview ui.

Community

Welcome to join the Opendatalab official WeChat group!

Related Projects

  • LabelU-kit Web frontend annotation kit (LabelU is developed based on this kit)
  • LabelLLM Open-source LLM dialogue annotation platform
  • Miner U One-stop high-quality data extraction tool

License

This project is licensed under the Apache 2.0 license.

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

vis3-1.0.0a53.tar.gz (1.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vis3-1.0.0a53-py3-none-any.whl (1.9 MB view details)

Uploaded Python 3

File details

Details for the file vis3-1.0.0a53.tar.gz.

File metadata

  • Download URL: vis3-1.0.0a53.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.11.12 Linux/6.11.0-1015-azure

File hashes

Hashes for vis3-1.0.0a53.tar.gz
Algorithm Hash digest
SHA256 c51a63f3da7a261681a063eac627eaffc59f210635e68cc080ccc3792c1b799c
MD5 b9abb16f4885ea7779dc93c233957d93
BLAKE2b-256 5045dc5dae51769754c7888a4671fdbc48924c2b3d274cdc25f3d5b66fb09bf1

See more details on using hashes here.

File details

Details for the file vis3-1.0.0a53-py3-none-any.whl.

File metadata

  • Download URL: vis3-1.0.0a53-py3-none-any.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.11.12 Linux/6.11.0-1015-azure

File hashes

Hashes for vis3-1.0.0a53-py3-none-any.whl
Algorithm Hash digest
SHA256 e2c98d9102ddfc2852d1d5add85b2070ce45ff0fbc1437fc2135773dc388f3d5
MD5 3b691a76dace8102a8872d558315ac7b
BLAKE2b-256 8b6fe418cf6d6208c45602bb088a86cff791b9b4204d7c6baaf6b04d7128e0c6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page