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NovaCode37/Prism-platform

Self-hosted OSINT platform. Point it at a domain, IP, email, phone or username and 26 modules run in parallel: WHOIS, DNS, threat intel, breaches, username search. One dashboard, an exposure score, an entity graph, HTML and PDF reports.

Python ◇ ai MIT
★236STARS
⑂101FORKS
!21ISSUES
🏆#7,635GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#937

MOST-STARRED Python

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

Prism-platform gained 10 stars in the last 30 days, about 1 a day, and now has 236. It is about 1 year old and has averaged roughly 236 stars a year. It ranks #937 among Python repositories and #7,635 across all languages on GitHubRepo.

Trending Record

Prism-platform has maintained a continuous presence across global trending indexes, peaking at #6825. Below is the 30-day activity profile:

💡 Overview

Prism-platform is an open-source project written in Python: Self-hosted OSINT platform. Point it at a domain, IP, email, phone or username and 26 modules run in parallel: WHOIS, DNS, threat intel, breaches, username search. One dashboard, an exposure score, an entity graph, HTML and PDF reports.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, cybersecurity, docker. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ 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.

📥 Installation

terminal
$ pip install Prism-platform

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Prism-platform 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.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with Prism-platform.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install Prism-platform using your package manager: `pip install Prism-platform`

2

Initialize your project workspace or configuration file for Prism-platform.

3

Import Prism-platform into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 236 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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.

⚠️ 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

NovaCode37/Prism-platform is currently ranked #7,635 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,620 jeetsukumaran/DendroPy Python ★ 237 Compare ↗
#7,620 oUF-wow/oUF Lua ★ 237 Compare ↗
#7,620 stjernstrom/capistrano_colors Ruby ★ 237 Compare ↗
#7,620 mcowger/plexus TypeScript ★ 237 Compare ↗
#7,620 bobsupra/NuvioTVOS Swift ★ 237 Compare ↗
#7,635 NovaCode37/Prism-platform This Project Python ★ 236
#7,635 rcieri/glab-tui Rust ★ 236 Compare ↗
#7,635 mbleigh/princely Ruby ★ 236 Compare ↗
#7,635 rmm5t/jquery-flexselect HTML ★ 236 Compare ↗
#7,635 certik/theoretical-physics Python ★ 236 Compare ↗
#7,635 maven-nar/nar-maven-plugin Java ★ 236 Compare ↗

Frequently Asked Questions

What does Prism-platform do? +

Self-hosted OSINT platform. Point it at a domain, IP, email, phone or username and 26 modules run in parallel: WHOIS, DNS, threat intel, breaches, username search. One dashboard, an exposure score, an entity graph, HTML and PDF reports.

What language is Prism-platform written in? +

The primary language is Python. Topics include: ai, cybersecurity, docker, fastapi, geoint.

Is Prism-platform actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 21 open issues being tracked.

How many stars does Prism-platform have? +

Prism-platform has 236 stars and 101 forks on GitHub.

How does Prism-platform rank among GitHub repositories? +

With 236 stars, NovaCode37/Prism-platform is ranked #7,635 globally across all repositories tracked on GitHubRepo and #937 among Python projects.

What license is Prism-platform distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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