Open Source Python Search Software
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Python Search Software
View 138 business solutionsBrowse free open source Python Search Software and projects below. Use the toggles on the left to filter open source Python Search Software by OS, license, language, programming language, and project status.
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DocFetcher
Desktop search application
DocFetcher is an Open Source desktop search application: It allows you to search the contents of files on your computer. — You can think of it as Google for your local files. The application runs on Windows, Linux and Mac OS X. -
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truffleHog
Searches through git repositories for high entropy strings and secrets
truffleHog searches through git repositories for high entropy strings and secrets, digging deep into commit history. TruffleHog runs behind the scenes to scan your environment for secrets like private keys and credentials, so you can protect your data before a breach occurs. Secrets can be found anywhere, so TruffleHog scans more than just code repositories, including SaaS and internally hosted software. With support for custom integrations and new integrations added all the time, you can secure your secrets across your entire environment. TruffleHog is developed by a team entirely comprised of career security experts. Security is our passion and primary concern, and all features are developed with best practices in mind. TruffleHog enables you to track and manage secrets within our intuitive management interface, including links to exactly where secrets have been found. TruffleHog runs quietly in the background, continuously scanning your environment for secrets. -
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turbovec
A vector index built on TurboQuant, written in Rust with Python
turbovec is a Rust-based vector index with Python bindings for fast similarity search. It is built around TurboQuant, a quantization approach designed to reduce vector storage while preserving useful distance information. The project targets workloads where embedding search needs to be compact, efficient, and practical to integrate into Python applications. It avoids a separate training phase for the quantizer, which can simplify setup compared with systems that require codebook learning. TurboVec is useful for developers building retrieval, ranking, semantic search, recommendation, or AI memory systems. Its main value is combining Rust performance with a Python-facing workflow for modern vector search experiments and applications. -
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dirsearch
Web path scanner
An advanced command-line tool designed to brute force directories and files in webservers, AKA web path scanner. Wordlist is a text file, each line is a path. About extensions, unlike other tools, dirsearch only replaces the %EXT% keyword with extensions from -e flag. For wordlists without %EXT% (like SecLists), -f | --force-extensions switch is required to append extensions to every word in wordlist, as well as the /. To use multiple wordlists, you can separate your wordlists with commas. Example: wordlist1.txt,wordlist2.txt. Default values for dirsearch flags can be edited in the configuration file: default.conf. The thread number (-t | --threads) reflects the number of separated brute force processes. And so the bigger the thread number is, the faster dirsearch runs. By default, the number of threads is 30, but you can increase it if you want to speed up the progress. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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rag-search
RAG Search API
rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. The system supports configurable filtering, scoring thresholds, and reranking options, allowing developers to fine-tune retrieval quality. Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data. -
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Setra
Password protected zip file cracker.
Setra is a cross-platform command line utility used to brute-force password protected zip file. It is written in the Python programming language. -
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Advanced Mass File renamer
This is a mass file renamer utilizing regular expression power.
This is a python based UI application that can rename a part of a set of files inside a directory based on the provided regular expression. This gives a lot more flexibility compared to other renaming files since it used grouping principle. This had two level of applying the rename, first stage shows who it will be when you rename it, if you are fine with the change you can make it permanent by clicking commit. This avoid the risk of file getting corrupted. To rename all .py file to .pyc is as follows: Search for Regex: (.py)$ Rename using this regex: .pyw -
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AnySearch Skill
Unified real-time search engine skill for AI agents
AnySearch Skill is a real-time search engine skill for AI agents. It gives agents a structured way to search the web, run vertical searches, perform parallel batch searches, and extract full-page content. The project is packaged as a skill rather than a standalone search application, so it is meant to be installed into compatible AI-agent environments. It supports multiple domain-specific search categories, making it useful when general web search is too broad. The skill can also fetch page content after a URL is found, which helps agents answer questions from source material rather than snippets alone. Its main value is turning web search into a reusable, agent-friendly capability with consistent inputs and outputs. -
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Blaze is an application launcher that distinguishes from amongst the others by being able to automate recurrent tasks performed in the file-system or even any application on Microsoft Windows.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Search tool based on Tracker. Circare aims for a different way searching your Desktop, mixing together graph based data visualizations, RDF querys, metadata and descriptors gives you a complete interface to the (meta)Tracker indexer.
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DeepSearch5Plus
Search recursively all files, text inside files, and bookmarks
Files, text, and bookmarks html/json search tool. It is able to merge duplicated bookmark links from multiple html/json files and export to html. The user interface is designed to be used by kyeboard in any aspect of its features scrolling list, select input field, menu bar, check and drop-down menu and so on. It's able to printout search list to pdf or system printer or save as text file. It allows to rename single file or change upper/lower case, join spaces in bulk mode with multiple level of undo and redo capability. You are also able to copy selected files to another location as single element or with its orginal parent folder usuful for audio and video files. You can launch the program associate with the file or open it in its container folder. For audio/video/text files you can configure for each of them a program to use and configure options to pass to the program. For example you could use, for example, Notepad++ and pass in its option "-n<number>" to open at certain row. -
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DiskAt is disk/media catalogue app supporting multiple categories per item, good search and features which allow to use it as Movie/DVD/etc database. Written with PHP/Python/SQLite.
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Document summarization system. By adding document content to system, user queries will generate a summary document containing the available information to the system.
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ENAS in PyTorch
PyTorch implementation of "Efficient Neural Architecture Search
ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and educational codebase, helping practitioners understand how ENAS works in practice and how to reproduce results on benchmark datasets. The project includes training scripts, model definitions, and search procedures that show the full workflow from architecture sampling to evaluation. Because ENAS relies on shared weights among candidate models, the implementation emphasizes efficiency and experiment reproducibility. -
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Eventseer is a search engine for computer science conference and workshop events. It digests call-for-paper emails and extracts and indexes relevant information.
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FindEmAll
A fast and resource-efficient graphical file search tool
A Python/Tk gui for find and grep. FindEmAll is, compared with other similar file search tools, fast and resource-efficient and independent from any desktop environment (no Gnome or KDE libraries required). -
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FreeAskInternet
FreeAskInternet is a completely free running search aggregator
FreeAskInternet is a self-hosted search and answer application that combines web results with large language models. A local SearXNG instance sends queries to multiple search engines and returns a broader collection of sources. The backend crawls selected pages, supplies their content to a configured model, and streams a synthesized response to the chat interface. It supports several hosted model services as well as custom local backends such as Ollama and llama.cpp. The web interface is designed for desktop and mobile use and exposes the service only on the local machine by default. Docker Compose provides a straightforward deployment path without requiring a dedicated GPU. The project is still described as early-stage, and actual privacy depends partly on whether users select a local or external model provider. -
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Hard Search is a program for windows written entirely in Python that searches any valid hard drives. It is capable of indexing hard drives for instant search results.
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Jake is a console based app written in python and qt4. Plugins will let you do almost anything, for example, search in google, translate, view images, talk with it (aka AI bot). Also, skining system will let you choose how should jake look.
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Meresco is both an OAI Data Provider and a Service Provider. SourceForge is only used to host the source control (subversion). Sources: http://sources.meresco.org/ Binaries: http://repository.cq2.org/ Mail: http://groups.google.com/group/meresco
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Nucular Archiving System for creating full text indices for fielded data. Python API, web, and command line interfaces. Fast. Very light weight. Concurrent read/writes with no possible locking issues. No server process. Proximity. Facets. Funny name.
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Pwim utilizes python to find through a given set of directories the string, or strings, that you meant to play. For example, 'pwim pick ice' will yeild you 'maison ikoku - The Pillows - ice pick.wmv' to be played with whatever media player of your choice.
