Search Results for "query" - Page 22
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Showing 1836 open source projects for "query"
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go-restful
Package for building REST-style Web Services using Go
...Route errors produce HTTP 404/405/406/415 errors, customizable using ServiceErrorHandler(...). Request API for reading structs from JSON/XML and accessing parameters (path, query, header). Customizable gzip/deflate readers and writers using CompressorProvider registration. There are several hooks to customize the behavior of the go-restful package. -
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ontop
a platform to query DBs as Virtual RDF Graphs using SPARQL
-ontop- is a platform to query databases as Virtual RDF Graphs using SPARQL. It's extremely fast and is packed with features. -
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Apache Impala
Apache Impala
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and... -
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peco
Simplistic interactive filtering tool
peco (pronounced peh-koh) is based on a python tool, percol. percol was darn useful, but I wanted a tool that was a single binary, and forget about python. peco is written in Go, and therefore you can just grab the binary releases and drop it in your $PATH. peco can be a great tool to filter stuff like logs, process stats, find files, because unlike grep, you can type as you think and look through the current results. Demos speak more than a thousand words! Here's me looking for a process on my mac. You can page through your results, and you can keep changing the query. When you combine tools like zsh, peco, and ghq, you can make managing/moving around your huge dev area a piece of cake! Search results are filtered as you type. When you find that line that you want, press enter, and the resulting line is printed to stdout, which allows you to pipe it to other tools. You can select multiple lines! -
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LEANN
Local RAG engine for private multimodal knowledge search on devices
LEANN is an open source system designed to enable retrieval-augmented generation (RAG) and semantic search across personal data while running entirely on local devices. It focuses on dramatically reducing the storage overhead typically required for vector search and embedding indexes, enabling efficient large-scale knowledge retrieval on consumer hardware. LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing... -
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QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
...It provides a simple and expressive API that allows developers to collect structured information from HTML documents using familiar DOM traversal techniques. It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. QueryList supports common data extraction scenarios such as retrieving lists of titles, links, images, and other page elements from structured or semi-structured content. It also includes a powerful HTTP request system that enables complex operations such as simulated logins, proxy usage, and customized request headers. ... -
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dataline
AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake
...The platform is designed with a privacy-first architecture that stores data locally on the user’s device rather than sending it to external cloud services by default. It can also hide sensitive data from language models during processing, ensuring that only necessary metadata is used for query generation. -
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trench
Open-Source Analytics Infrastructure
...The system is built on top of high-performance data technologies including Apache Kafka and ClickHouse, which allows it to ingest and process very large volumes of events while maintaining fast query performance. It was originally developed to solve scaling challenges in product analytics systems where traditional relational databases become inefficient as event tables grow. The platform enables developers to collect events such as page views, user actions, and behavioral metrics while storing them in a column-oriented analytics database optimized for time-series workloads. ... -
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AI Powered Knowledge Graph Generator
AI Powered Knowledge Graph Generator
AI-Powered Knowledge Graph is an open-source project focused on building knowledge graph systems that integrate artificial intelligence and machine learning to represent complex relationships between data entities. Knowledge graphs organize information as networks of nodes and relationships, allowing applications to analyze connections between concepts, datasets, or real-world entities. By incorporating AI techniques such as natural language processing and semantic reasoning, the project... -
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DevDocs by CyberAGI
Completely free, private, UI based Tech Documentation MCP server
...Instead of sending entire documents to a language model, DevDocs organizes documentation into sections so that only the most relevant portions are retrieved during a query. This approach reduces token usage and improves the accuracy of responses generated by AI coding assistants. The platform is designed to integrate easily with modern developer tools and AI environments such as Cursor, Cline, and Claude-based workflows. It includes a user interface that allows developers to browse documentation repositories and connect them to AI systems while keeping the data private. -
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DeepSearcher
Open Source Deep Research Alternative to Reason and Search
...It is designed around the idea that high-quality answers require more than top-k retrieval, so it orchestrates multi-step search, evidence collection, and synthesis into a comprehensive response. The project integrates with vector databases (including Milvus and related options) so organizations can index internal documents and query them with semantic retrieval. It also supports flexible embeddings, making it easier to choose different embedding models depending on domain requirements, latency targets, or accuracy goals. The overall workflow aims to minimize hallucinations by grounding outputs in retrieved material and then applying structured reasoning over that evidence before generating a final report. -
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Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. The system then executes those queries against a database and interprets the results, returning human-friendly insights not just raw rows, while learning from errors and successes to reduce repeated mistakes. -
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
...It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch, streaming, and upsert—making it easy to keep embeddings synchronized as content changes. Hybrid search is a core design goal, allowing you to mix vector, keyword, and filter queries in a single request for practical relevance. Observability and safety round out the system, with metrics, tracing, and guardrails to manage recalls, deletions, and privacy-sensitive data at scale. -
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BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
...Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. The implementation favors minimal allocations and locality, making it attractive for indexing, query engines, and caches that need predictable iteration costs. A simple Item interface with a Less method defines ordering, keeping the API small and flexible for custom types. The library includes benchmarks and optional freelists so users can trade memory reuse for speed in hot paths. -
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Seamless Communication
Foundational Models for State-of-the-Art Speech and Text Translation
...The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak, gesture, point) or query, and a cross-modal reasoning layer that fuses perception with semantic context. The research prototype includes components for visual grounding (understanding when a user references something in view), gesture recognition and synthesis, and turn-taking mechanisms that mirror human conversational timing. Because latency and synchronization are critical, the codebase invests in asynchronous scheduling, overlap of perception and reasoning, and fast fallback responses. -
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FriendlyId
FriendlyId is the “Swiss Army bulldozer” of slugging
FriendlyId is a Rails gem that provides human-readable slugs for ActiveRecord models, replacing numeric IDs in URLs with meaningful strings. For example, instead of /articles/123, you can have /articles/my-first-post. It integrates with ActiveRecord to generate slugs automatically based on attributes (like a title) and manages uniqueness, history, and slug regeneration when records change. FriendlyId also supports features like slug candidates, scoped slugs, and reserved word handling to... -
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Geocoder
Complete Ruby geocoding solution
...Beyond simple geocoding, Geocoder can perform IP address lookups, distance queries, and proximity searches directly in ActiveRecord or Mongoid models. With its database integration, you can query for nearby records, order results by distance, or filter results within a radius, making it invaluable for location-based apps. By abstracting away API differences and providing a clean Ruby interface, Geocoder makes geospatial features straightforward to implement in web and mobile projects. -
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Jitsu
Jitsu is an open-source Segment alternative
...Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. Just write JavaScript code right in the UI to do anything with incoming data. And yes, the code editor supports code completion, debugging and many more. It feels like a full-featured IDE! -
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Koop
Transform, query, and download geospatial data on the web
Koop is a JavaScript toolkit for making requests to spatial APIs. It exposes a Node.js web server that facilitates on-the-fly transformations of geospatial data from one format to another and delivers it to clients by HTTP. Koop allows you to keep your data in its native format while making it accessible in any format required. Out-of-the-box, Koop can translate your data into the GeoServices specification supported by ArcGIS products. Its plugin architecture supports output in other formats... -
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create-t3-app
The best way to start a full-stack, typesafe Next.js app
...It's the industry standard and we're proud to build on top of it :) Prisma is the best way to work with databases in TypeScript. It provides a simple, type-safe API to query your database, and it can be used with most SQL dialects (and Mongo too!). We firmly believe TypeScript will help you be a better web developer. -
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Goyave
Elegant Golang REST API Framework (v5 WIP)
Goyave is a Golang REST API framework aiming at cleanliness, fast development and power. Goyave is a progressive and accessible web application framework focused on REST APIs, aimed at making backend development easy and enjoyable. It has a philosophy of cleanliness and conciseness to make programs more elegant, easier to maintain and more focused. Get started quickly and master all its powerful functionalities thanks to its extensive documentation. Goyave has an expressive, elegant syntax,... -
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TypeScript Express Starter
Quick and Easy TypeScript Express Starter
...If you do not enter a project name, it defaults to typescript-express-starter. TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases. A query language for APIs and a runtime for fulfilling those queries with your existing data. -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
...Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. ... -
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Entity Framework Plus
Entity framework plus extends your DbContext with must-haves features
Entity Framework Plus extends your DbContext with must-haves features, include filter, auditing, caching, query future, batch delete, batch update, and more. Deleting using Entity Framework Core can be very slow if you need to delete hundreds or thousands of entities. Entities are first loaded in the context before being deleted which is very bad for the performance and then, they are deleted one by one which makes the delete operation even worse. -
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Reliable PostgreSQL Backup & Restore
Reliable PostgreSQL backup and restore
...More cores and a larger pipe lead to even higher throughput. A custom protocol allows pgBackRest to backup, restore, and archive locally or remotely via TLS/SSH with minimal configuration. An interface to query PostgreSQL is also provided via the protocol layer so that remote access to PostgreSQL is never required, which enhances security.
