Skip to main content

Rust data visualization framework - The modern Plotly alternative

Project description

SeraPlot - Rust-Powered Data Visualization Framework

SeraPlot is a framework developed in Rust, meticulously crafted with care. It is a modern alternative to Plotly, designed specifically for data visualization. This library is distributed across multiple programming languages (Python, C#, C++, JavaScript), regularly maintained and updated, offering superior speed and significantly lower memory consumption compared to competitors.


Why Choose SeraPlot

• More fast than plotly; generation across all dataset sizes
• Minimal memory footprint - ideal for resource-constrained environments
• Production-ready with enterprise-grade stability
• Multi-language support (Python, C#, C++, JavaScript, and more if necessary send me a message)
• Regularly updated with new plots - new features and improvements
• Perfect for real-time dashboards and batch processing


Install Command

Seraplot may be installed using pip

pip install seraplot

or you can also install in conda

conda install -c conda-forge seraplot

Simple Usage

import seraplot, json

seraplot.show_chart_value(json.dumps({
    'title': 'My Chart',
    'labels': ['A', 'B', 'C', 'D'],
    'values': [45.2, 38.9, 52.1, 41.7],
    'hover': [{'index': i} for i in range(4)],
    'group': 'default'
}))

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 Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

seraplot-2.3.5-cp311-cp311-win_amd64.whl (4.8 MB view details)

Uploaded CPython 3.11Windows x86-64

File details

Details for the file seraplot-2.3.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: seraplot-2.3.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for seraplot-2.3.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8f9724f1c3c7386878b720bd43d4c1675f2b448de31aa74e6be49f2d38302159
MD5 07ff84caf38cc95893d2d8f5eb335c49
BLAKE2b-256 4625dc4e75b91d011d7b6e4b94f3ce7c1ed8089228bf0ae0d99e3f738bc8f53a

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