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Automated Analysis Python Packages

Python packages with the GitHub topic automated-analysis. Sorted by monthly downloads, with stars and forks.
InQuest
sandboxapi

Minimal, consistent Python API for building integrations with malware sandboxes.

505 143 40
ProLint
prolintpy

A python package for the automated analysis and visualization of lipid-protein interactions.

145 7 0
chigwell
ai-risk-extractor

A new package designed to facilitate the extraction of structured insights from user prompts related to the domain of autonomous AI agents and their potential vulnerabilities. Given an input text desc

98 1 0
chigwell
fp-associativity-analyzer

A new package that takes a user's text input about floating-point arithmetic or SIMD programming challenges and returns a structured analysis of potential associativity issues. It uses an LLM to gener

64 1 0
chigwell
optimistic-pessimistic-evaluator

A new package is designed to facilitate structured evaluation of a system's performance comparison between optimistic and pessimistic approaches. It takes a textual description or data snippet as inpu

61 1 0
chigwell
phenomenon-interpreter

phenomenon-interpreter analyzes textual descriptions of natural events to generate structured summaries or classifications automatically

50 1 0
chigwell
moderatefocus

A new package that analyzes user-submitted text queries about community moderation or platform policies (like why small voting projects get flagged) and returns structured insights. It uses an LLM to

50 1 0
chigwell
transitmaplint

A new package that takes user-provided text descriptions of transportation or infrastructure maps (like train networks) and returns structured feedback or improvements. It analyzes the input for key e

43 1 0
chigwell
voteclarify

A new package that processes user queries about why small voting or ranking projects get flagged as spam so easily. It uses natural language processing to understand the input and generates a structur

41 1 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology