Dataset-Viewer

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Dataset-viewer is an open-source data & analytics tool that allows users to stream and view massive datasets instantly. It supports various protocols like WebDAV, S3, SSH, and Hugging Face, enabling real-time search and direct archive previews.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is dataset-viewer?

Dataset-viewer is a high-performance, AI-generated dataset viewer built with Tauri, React, and TypeScript. It excels at handling massive datasets, offering instant opening of files exceeding 100GB through virtualized rendering. Users can perform real-time searches with millisecond speed and highlighting across large files, and directly browse ZIP/TAR archives without extraction. The tool supports multiple protocols including WebDAV, SSH/SFTP, SMB/CIFS, S3, Local Files, and HuggingFace Hub, along with various formats like Parquet, Excel, CSV, JSON, and code files with syntax highlighting. Its modern interface includes dark/light themes and multi-language support, making it ideal for data scientists, log analysis, and remote data access.

Best used for

Ideal for data scientists who need to explore large datasets, analyze log files, and browse compressed archives without extraction. Especially valuable for those working with massive files (100GB+) from various sources like S3, SSH, or Hugging Face, requiring instant access and lightning-fast search.

Common actions

view datasets

stream large files

search data

browse archives

analyze logs

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Capabilities

Key features

Instant large file opening
Real-time millisecond search
Direct archive preview
Multi-protocol support
Multi-format support
Virtualized rendering
AI-generated codebase

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of data sources does Dataset Viewer support for streaming?

Dataset Viewer supports streaming large files from a wide range of sources, including WebDAV, S3, SSH/SFTP, SMB/CIFS, local files, and HuggingFace Hub. This multi-protocol support allows users to access and view data regardless of its storage location.

Can Dataset Viewer handle extremely large files, such as those over 100GB?

Yes, Dataset Viewer is specifically designed to handle massive files, including those exceeding 100GB. It utilizes virtualized rendering and a streaming architecture with chunked loading to efficiently open and process large datasets without memory constraints.

What file formats can be viewed and analyzed with Dataset Viewer?

Dataset Viewer supports numerous file formats, including data files like Parquet, Excel, CSV, and ODS, as well as text and code files such as JSON, YAML, XML, JavaScript, Python, and more with syntax highlighting. It also allows browsing of ZIP/TAR archives and viewing of common media types.

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Subcategories trending in Data & Analytics

Predictive Analytics Data Labeling & Annotation Real-Time Analytics Market Research Data Cleaning & Prep Data Pipelines & Integration

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Also listed in

This tool also appears in

Productivity & Business › File & Knowledge Org

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