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faridrashidi/cnsplots

๐ŸŽจ Toolkit for generating publication-quality plots for Cell, Nature and Science journals

Python โ—‡ data-science BSD-3-Clause
โ˜…718STARS
โ‘‚74FORKS
!0ISSUES
๐Ÿ†#9,216GLOBAL RANK
๐Ÿ”ฅ2DAYS TRENDING
๐Ÿš€
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โšก Executive Summary & Quick Facts

Authoritative Source

cnsplots is cnsplots is an open-source project written in Python: ๐ŸŽจ Toolkit for generating publication-quality plots for Cell, Nature and Science journals..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), faridrashidi/cnsplots has accumulated 718 GitHub stars and 74 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #9,216 globally. It is actively maintained with the latest commit recorded on Nov 1, 2026.”
Repository faridrashidi/cnsplots โ†—
Primary Category data science
Language & Stack Python
Software License BSD-3-Clause
Community Traction โ˜… 718 stars ยท โ‘‚ 74 forks ยท #9,216 globally
Maintenance โ— Active (Last commit: Nov 1, 2026) ยท 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ›ก๏ธ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 ยท Grade A+
โœ…
Is cnsplots actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, cnsplots is actively maintained. Continuous telemetry recorded the last code commit on Nov 1, 2026 (1 days ago). Supported by 718 stars and 74 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 1, 2026
1 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
74 Forks
718 Stars Recorded
Software License
BSD-3-Clause
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for faridrashidi/cnsplots
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Momentum

+18

STARS ยท LAST 30 DAYS

1

PER DAY

#1,273

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+18+90
Per day111
Forks gained+1+3+10

cnsplots gained 18 stars in the last 30 days, about 1 a day, and now has 718. It is about 4 years old and has averaged roughly 180 stars a year. It ranks #1,273 among Python repositories and #9,216 across all languages on GitHubRepo.

Trending Record

cnsplots has maintained a continuous presence across global trending indexes, peaking at #11360. Below is the 30-day activity profile:

๐Ÿ’ก Overview

cnsplots is an open-source project written in Python: ๐ŸŽจ Toolkit for generating publication-quality plots for Cell, Nature and Science journals.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-science, data-visualization, plotting. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install cnsplots

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

cnsplots coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

๐ŸŽฏ Production Use Cases

Production System Integration

Embed cnsplots into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open BSD-3-Clause license.

๐Ÿš€ Getting Started

1

Install cnsplots using your package manager: `pip install cnsplots`

2

Initialize your project workspace or configuration file for cnsplots.

3

Import cnsplots into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `cnsplots --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 718 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

faridrashidi/cnsplots is currently ranked #9,216 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,210 mahkoh/jay Rust โ˜… 719 Compare โ†—
#9,210 pdovhomilja/nextcrm-app TypeScript โ˜… 719 Compare โ†—
#9,210 Crosstalk-Solutions/unifi-toolkit Python โ˜… 719 Compare โ†—
#9,210 peters/horizon Rust โ˜… 719 Compare โ†—
#9,210 jryang1997/MenuBarMijia Swift โ˜… 719 Compare โ†—
#9,216 faridrashidi/cnsplots This Project Python โ˜… 718
#9,216 chapar-rest/chapar Go โ˜… 718 Compare โ†—
#9,216 facebookresearch/project_superdex C++ โ˜… 718 Compare โ†—
#9,219 hoaxisr/awg-manager Go โ˜… 717 Compare โ†—
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Frequently Asked Questions

What does cnsplots do? +

๐ŸŽจ Toolkit for generating publication-quality plots for Cell, Nature and Science journals

Is cnsplots actively maintained in 2026? +

Yes, cnsplots is actively maintained. The latest code push was recorded on Nov 1, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 718 stars and 0 open issues.

What language is cnsplots written in? +

The primary language is Python. Topics include: data-science, data-visualization, plotting, publication-quality, python.

How many stars does cnsplots have? +

cnsplots has 718 stars and 74 forks on GitHub.

How does cnsplots rank among GitHub repositories? +

With 718 stars, faridrashidi/cnsplots is ranked #9,216 globally across all repositories tracked on GitHubRepo and #1,273 among Python projects.

What license is cnsplots distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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