Search Results for "tagging"
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Showing 10 open source projects for "tagging"
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8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Dnote
A simple command line notebook
...It is designed around fast, distraction-free workflows that let users jot down notes quickly from the terminal or a web interface, ensuring that insights and solutions are captured at the moment they occur. With structured tagging and hierarchical organization, Dnote encourages users to categorize entries in ways that align with their own thinking rather than forcing a rigid notebook structure. Its search is optimized to handle large collections of notes, allowing users to find relevant information instantly, which makes it especially helpful for developers, engineers, and power users who accumulate practical knowledge over time. -
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Scriberr
Self-hosted AI audio transcription
...The application includes a polished user interface that simplifies the management of recordings, transcripts, and annotations, making it suitable for both casual users and professionals handling large volumes of audio. Beyond transcription, Scriberr also integrates features such as summarization, tagging, and interaction with language models, allowing users to extract insights from conversations or meetings efficiently. -
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paperless-gpt
Use LLMs and LLM Vision (OCR) to handle paperless-ngx
paperless-gpt is an AI-powered extension for document management systems that enhances the capabilities of paperless-ngx by integrating large language models and vision-based OCR to automate document processing and organization. It is designed to transform scanned or uploaded documents into structured, searchable, and intelligently categorized data without requiring manual tagging or sorting. The system uses OCR combined with LLM reasoning to extract text, classify documents, and generate metadata such as tags, titles, and categories automatically. It supports advanced workflows where documents can be analyzed contextually, enabling features like semantic search, summarization, and automated classification pipelines. ... -
4
gse
Go efficient multilingual NLP and text segmentation
...Gse is implements jieba by golang, and try add NLP support and more feature. Support common, search engine, full mode, precise mode and HMM mode multiple word segmentation modes. Support user and embed dictionary, Part-of-speech/POS tagging, analyze segment info, stop and trim words. Support multilingual: English, Chinese, Japanese and others. Support Traditional Chinese. Support HMM cut text use Viterbi algorithm. Support NLP by TensorFlow (in work). Named Entity Recognition (in work). Supports with elastic search and bleve. run JSON RPC service. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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ownCloud Infinite Scale
ownCloud Infinite Scale Stack
...The platform focuses on providing a unified data access layer that can connect multiple storage backends while maintaining strong control over file sharing and governance. It enables real-time collaboration through web office integrations and supports advanced administrative features such as custom roles, tagging, and full-text search. Because of its modular design, oCIS can be deployed efficiently in public, private, or hybrid infrastructures while reducing operational overhead. -
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Apache Answer
Free and open source Q&A platform software for all the teams.
Apache Answer is an open-source software project under incubation at the Apache Software Foundation (ASF). It empowers you to build a robust question-and-answer (Q&A) platform to thrive your community at ease. Apache Answer is capable for but not limited to: Community Forum: Open discussions and knowledge sharing within your online community. Help Center: Provide a central location for users to find answers to frequently asked questions (FAQs) and troubleshoot issues related to... -
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Amplify
Automatic enrichment, enhancement, and explanation of your data
Amplify attaches afterburners to your data. Amplify explains metadata extraction, classification, tagging, and reporting. Eriches derivative data generation like thumbnails, previews, conversions, etc. Enhances batteries-included value-adds like data quality reports, image augmentation, OCR, translations, etc. Amplify leverages the decentralized compute provided by Bacalhau to magically enrich your data. A built-in suite of pipelines decides what your data is and how to best improve upon it. ... -
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prose NLP
Golang library for text processing
Prose is a natural language processing library for Go, designed for text analysis tasks like tokenization, named entity recognition, and dependency parsing. -
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TMSU
TMSU lets you tags your files and then access them
TMSU lets you tags your files and then access them through a nifty virtual filesystem from any other application. TMSU is a tool for tagging your files. It provides a simple command-line utility for applying tags and a virtual filesystem to give you a tag-based view of your files from any other program. TMSU does not alter your files in any way: they remain unchanged on disk, or on the network, wherever your put them. TMSU maintains its own database and you simply gain an additional view, which you can mount where you like, based upon the tags you set up. ... -
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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10
bashful
Use a yaml file to stitch together commands and bash snippits
...The idea is that your bash automation should be “quiet and shy-like” rather than verbose and messy, so bashful provides a structured way to describe tasks (commands, downloads, nested operations) in a YAML file, and then run them with a nice terminal UI showing progress bars, logs, ETAs, etc. It supports features such as downloading scripts, bundling sets of commands and resources, tagging tasks, running subsets via tags, logging both stdout and stderr, and error-handling policies (e.g., which commands should halt execution on failure). The tool is cross-platform (supports Linux, macOS, Windows), installable via Go or via package managers, and licensed under MIT.
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