Search Results for "tagging" - Page 3
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Showing 377 open source projects for "tagging"
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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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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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BestBlogs
A collection of top programming
BestBlogs is an open-source project designed to aggregate, organize, and surface high-quality blog content from across the web, helping users discover valuable articles in a structured and accessible way. The platform focuses on curating content based on relevance, quality, and usefulness rather than simply indexing large volumes of information, making it particularly useful for developers, researchers, and knowledge seekers. It typically integrates automated data collection and filtering... -
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Docspell
Assist in organizing your piles of documents
Docspell is a personal document organizer. Or sometimes called a "Document Management System" (DMS). You'll need a scanner to convert your papers into files. Docspell can then assist in organizing the resulting mess. It can unify your files from scanners, emails, and other sources. It is targeted for home use, i.e. families, households, and also for smaller groups/companies. You can associate tags, set correspondent,s and lots of other predefined and custom metadata. If your documents are... -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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vue-select
Everything you wish the HTML <select> element could do
Everything you wish the HTML <select> element could do, wrapped up into a lightweight, extensible Vue component. Vue Select is a feature-rich select/dropdown/typeahead component. It provides a default template that fits most use cases for a filterable select dropdown. The component is designed to be as lightweight as possible while maintaining high standards for accessibility, developer experience, and customization. Vue Select aims to be as lightweight as possible, while maintaining high... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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eLabFTW
Open source electronic lab notebook for research labs
...It also supports collaboration across teams, enabling multiple users to access shared records and streamline project workflows. The software features advanced search, tagging, timestamping, and export tools, which are essential for reproducibility and long-term project tracking. -
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rep+
Burp-style HTTP Repeater for Chrome DevTools with built‑in AI
...It captures HTTP traffic from the inspected page without needing a proxy, allowing users to replay, modify, and analyze individual requests with fine-grained control over headers, bodies, and methods. The tool offers hierarchical grouping, tagging, and filtering of captured requests so that developers and security testers can manage complex traffic flows efficiently. It includes AI-assisted insights, where contextual explanations and attack vector suggestions help interpret request outcomes or propose modifications. Additional productivity features like exporting/importing requests, various representation modes (pretty/raw/hex), and bulk replay mechanisms make it suitable for debugging, performance checking, or security probing. -
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OpenOps
The batteries-included, No-Code FinOps automation platform
OpenOps is an open-source, no-code FinOps automation platform designed to help organizations manage and optimize cloud financial operations with minimal manual effort. At its core, OpenOps provides a visual workflow builder that lets teams construct automated processes for cloud cost optimization, budgeting, tagging, allocation, forecasting, and anomaly management without writing code, making complex financial workflows approachable for both technical and financial users. The platform includes an integrated spreadsheet-like database called OpenOps Tables and built-in analytics for tracking metrics and visualizing cost trends, enabling teams to consolidate disparate cloud cost data into actionable dashboards. ... -
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General
The official registry of general Julia packages
...New packages and updates are added through pull requests, often automated via Registrator.jl, with qualifying requests merged automatically while others undergo manual review. The system also integrates with TagBot to automate tagging of package releases once registered. By maintaining clear rules for licensing and contribution, General ensures a reliable and transparent process for managing Julia’s open source package ecosystem. -
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kb
A minimalist command line knowledge base manager
kb is a minimalist command-line knowledge base manager that gives users a fast, organized way to collect, store, search, and retrieve notes, documents, cheatsheets, procedures, and other artifacts directly from the terminal. It was created to solve the common problem of having scattered text files or reference materials on disk that are hard to search or categorize, and it surfaces a simple CLI interface with intuitive commands for adding, viewing, editing, and deleting knowledge items. Each... -
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flair
A very simple framework for state-of-the-art NLP
...Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), sentiment analysis, part-of-speech tagging (PoS), special support for biomedical texts, sense disambiguation and classification, with support for a rapidly growing number of languages. A text embedding library. Flair has simple interfaces that allow you to use and combine different word and document embeddings, including our proposed Flair embeddings and various transformers. ... -
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node-oracledb
Oracle Database driver for Node.js maintained by Oracle Corp
...It is stable, well documented, and has a comprehensive test suite. Oracle gratefully acknowledges the contributions to node-oracledb that have been made by the community. Inbuilt Connection Pool with Queuing, Aliasing, Tagging, Draining, Heterogeneous and Homogeneous connections, Proxy connections and Liveness checking. Use of Oracle Network Service infrastructure, including encrypted network traffic and security features. -
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Relaticle
The Next-Generation Open-Source CRM Platform written with Laravel
Relaticle is a self-hosted knowledge graph and note linking platform designed to help users organize, connect, and explore ideas in a visual and intuitive way. It blends the simplicity of a note-taking system with the power of a graph database, allowing users to create nodes for concepts, link them through relationships, and navigate their thoughts like a map instead of a linear document. The interface lets you write plain text notes and tag or connect them dynamically, making it easier to... -
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Timesketch
Collaborative forensic timeline analysis
...Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging, sketch notes, and story building so teams can annotate findings and share context without losing the raw data trail. Integrations with popular DFIR pipelines make ingestion repeatable, while role-based access and audit logs support enterprise workflows. By combining scale, collaboration, and reproducibility, Timesketch moves incident response beyond ad-hoc spreadsheets to a durable, team-oriented investigation record. -
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Node.js Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models
...NLP Cloud serves high-performance pre-trained or custom models for NER, sentiment analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, text generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, and served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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Quod Libet
Music player and music library manager for Linux, Windows, and macOS
...With over 90 plugins included, you can extend and integrate with almost anything, or write your own! Ex Falso is a bare-bones tag editor with the same editing interface as Quod Libet. Quod Libet is a GTK+-based audio player written in Python, using the Mutagen tagging library. It’s designed around the idea that you know how to organize your music better than we do. It lets you make playlists based on regular expressions (don’t worry, regular searches work too). It lets you display and edit any tags you want in the file, for all the file formats it supports. Unlike some, Quod Libet will scale to libraries with tens of thousands of songs. ... -
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Budget
Get a grip on your finances
...The application allows users to input transactions manually or import them from CSV files, making it adaptable to different workflows and banking systems. It includes tagging systems for categorizing expenses, enabling detailed analysis of spending habits and financial priorities. Budget also provides reporting tools that generate visual insights such as weekly balances and category breakdowns, helping users understand trends over time. Additional features such as receipt uploads and email summaries enhance usability and provide a more complete financial tracking experience. -
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Natural Language Toolkit
NLTK Source
The Natural Language Toolkit (NLTK) is a widely used open-source Python library designed for working with human language data and building natural language processing (NLP) applications. It provides a comprehensive suite of modules, datasets, and tutorials that support both symbolic and statistical approaches to language processing. The toolkit includes implementations of many foundational NLP algorithms and utilities, enabling developers to perform tasks such as tokenization, stemming,... -
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YourInfo
Real-time browser fingerprinting demo with cross-browser tracking
YourInfo is a personal information management tool designed to let users securely store, structure, and retrieve their key data — such as contacts, credentials, personal notes, and preferences — while also enabling AI-assisted queries or reminders using that data. The platform prioritizes privacy by focusing on local storage or user-controlled databases, ensuring sensitive data stays under the user’s control rather than in third-party servers. Users can define types of information, tag... -
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StoryMem
Official code for StoryMem: Multi-shot Long Video Storytelling
StoryMem is a narrative-focused memory accumulation system that lets users build, store, and reference past conversational context or story elements with an AI, effectively enabling the AI to maintain and recall personalized story memories or character arcs over time. Instead of treating each interaction as stateless, it tracks user-defined memory nodes, tags, and story threads so that future interactions can draw on established narrative context like character traits, past events, or... -
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Tally
Let agents classify your bank transactions
Tally is an open-source, AI-assisted tool designed to automate the classification of personal financial transactions, helping users turn raw bank data into meaningful categories without manual tagging. At its core, Tally pairs a local rule engine with large language models so that an AI assistant (like Claude Code, Copilot, or any CLI agent) interprets, suggests, and categorizes expenses, savings, subscriptions, and income events based on your own rules and behavior. It generates human-readable reports and can produce HTML, JSON, or Markdown outputs to suit dashboards or personal finance workflows. ... -
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Claude Cognitive
Persistent context and multi-instance coordination
Claude Cognitive is an advanced memory and context-management extension designed to address the stateless limitations of Claude Code by giving the model a form of persistent “working memory” and multi-instance coordination. It introduces an attention-based context router that prioritizes files and content relevant to the current development discussion — tagging them as HOT, WARM, or COLD based on recency and keyword activation — so Claude Code doesn’t waste token budget rereading irrelevant code. This context routing dramatically reduces redundant token usage and accelerates large codebase interactions by focusing only on what truly matters to the current task. Additionally, Claude-Cognitive includes a pool coordinator to share state across multiple Claude Code instances, preserving what’s been learned or completed and preventing repetitive debugging or redundant exploration. -
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Python Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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Cleanlab
The standard data-centric AI package for data quality and ML
cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you... -
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PHP Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. Pass the model you want to use and the NLP Cloud token to the client during initialization. If you are making asynchronous requests, you will always receive a quick response containing a URL.
