Search Results for "query" - Page 10
Sort By:
Showing 1835 open source projects for "query"
View related business solutions-
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.
-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
MindsDB
Making Enterprise Data Intelligent and Responsive for AI
...A federated query engine that tidies up your data-sprawl chaos while meticulously answering every single question you throw at it. MindsDB has an MCP server built in that enables your MCP applications to connect, unify and respond to questions over large-scale federated data—spanning databases, data warehouses, and SaaS applications. -
2
Peewee-async
Asynchronous interface for peewee ORM powered by asyncio
peewee-async is an async extension for the Peewee ORM, enabling non-blocking database access in asyncio-powered Python applications. It allows you to use familiar Peewee models while benefiting from asynchronous I/O, making it ideal for web applications or services that require concurrency. -
3
pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
4
sp_WhoIsActive
sp_whoisactive
sp_WhoIsActive is a comprehensive activity monitoring stored procedure that works for all versions of SQL Server from 2005 through 2022 and Azure SQL DB. sp_whoisactive is a SQL Server stored procedure for monitoring active queries and troubleshooting database performance issues. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
PostgREST
REST API for any Postgres database
...Object-relational mapping is a leaky abstraction leading to slow imperative code. The PostgREST philosophy establishes a single declarative source of truth: the data itself. It’s easier to ask PostgreSQL to join data for you and let its query planner figure out the details than to loop through rows yourself. It’s easier to assign permissions to db objects than to add guards in controllers. (This is especially true for cascading permissions in data dependencies.) It’s easier to set constraints than to litter code with sanity checks. -
6
LOTUS
AI-Powered Data Processing: Use LOTUS to process all of your datasets
LOTUS is an open-source framework and query engine designed to enable efficient processing of structured and unstructured datasets using large language models. The system provides a declarative programming model that allows developers to express complex AI data operations using high-level commands rather than manually orchestrating model calls. It offers a Python interface with a Pandas-like API, making it familiar for data scientists and engineers already working with data analysis libraries. ... -
7
GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. Different query engines can adopt the language while choosing which features to support. Unsupported features are clearly surfaced through validation errors. ... -
8
Pixie
Instant Kubernetes-Native Application Observability
...Pixie collects, stores and queries all telemetry data locally in the cluster. Pixie uses less than 5% of cluster CPU and in most cases less than 2%. PxL, Pixie’s flexible Pythonic query language, can be used across Pixie’s UI, CLI, and client APIs. -
9
Micronaut Data
Ahead of Time Data Repositories
...Both GORM and Spring Data use regular expressions and pattern matching in combination with runtime generated proxies to translate a method definition on a Java interface into a query at runtime. No such runtime translation exists in Micronaut Data and this work is carried out by the Micronaut compiler at compilation time. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
-
10
CloudQuery
The open-source cloud asset inventory powered by SQL
...Connect CloudQuery standard PostgreSQL database to your favorite BI/Visualization tool such as Grafana, QuickSight, etc. Codify your security & compliance rules with SQL as the query engine. Integrate CloudQuery with your current visualization, monitoring, and alerting such as Grafana. CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. ... -
11
Xiyan MCP Server
A Model Context Protocol (MCP) server
The XiYan MCP Server is a Model Context Protocol (MCP) server that enables natural language queries to databases, powered by XiYan-SQL, a state-of-the-art text-to-SQL model. It allows users to interact with databases using conversational language, simplifying data retrieval processes. -
12
Zipkin
Distributed tracing system to gather timing data
...It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. The Zipkin UI also presents a Dependency diagram showing how many traced requests went through each application. This can be helpful for identifying aggregate behavior including error paths or calls to deprecated services. ... -
13
Postgres
PostgreSQL driver for Deno
A lightweight PostgreSQL driver for Deno focused on developer experience. deno-postgres is inspired by the excellent work of node-postgres and pq. The documentation is available on the deno-postgres website. Due to breaking changes introduced in the unstable APIs deno-postgres uses, there has been some fragmentation regarding what versions of Deno can be used alongside the driver. -
14
MCP GraphQL
Model Context Protocol server for GraphQL
The MCP-GraphQL server is a Model Context Protocol implementation that enables Large Language Models (LLMs) to interact with GraphQL APIs. It provides schema introspection and query execution capabilities, allowing models to dynamically discover and utilize GraphQL APIs. -
15
json-graphql-server
Get a full fake GraphQL API with zero coding in less than 30 seconds
...Under the hood, it uses the express-graphql module. Please refer to their documentations for details about passing variables, etc. Note that the server is GraphiQL enabled, so you can query your server using a full-featured graphical user interface, providing autosuggest, history, etc. Based on your data, json-graphql-server will generate a schema with one type per entity, as well as 3 query types and 3 mutation types. -
16
OctoSQL
Join, analyse and transform data from multiple databases
OctoSQL is predominantly a CLI tool which lets you query a plethora of databases and file formats using SQL through a unified interface, even do JOINs between them. (Ever needed to join a JSON file with a PostgreSQL table? OctoSQL can help you with that.) OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. At the same time it's an easily extensible full-blown dataflow engine, and you can use it to add a SQL interface to your own applications. ... -
17
PaSa
An advanced paper search agent powered by large language models
PaSa is an open-source “paper search agent” built around large language models (LLMs), designed to automate the process of academic literature retrieval with human-like decision making. Instead of simply translating a query into keywords and returning a flat list of matching papers, PaSa uses a dual-agent architecture (Crawler + Selector) that can iteratively search, read, analyze, and filter academic publications — simulating how a researcher might dig through citation networks, expand references, and evaluate relevance based on both metadata and content. ... -
18
pg_mooncake
Real-time analytics on Postgres tables
pg_mooncake is a PostgreSQL extension that brings observability and performance insights to your database by exposing low-level metrics and analytics. It provides developers with enhanced visibility into query execution, memory usage, and system behavior. Ideal for fine-tuning Postgres performance, pg_mooncake is designed for those who need actionable insights without external tools. -
19
pgBadger
A fast PostgreSQL Log Analyzer
pgBadger is a fast and powerful log analyzer for PostgreSQL, written in Perl. It parses PostgreSQL logs and generates detailed, visually appealing HTML reports, helping DBAs and developers understand query performance, connection issues, and system bottlenecks. With support for incremental analysis, gzip-compressed logs, and parallel processing, pgBadger is ideal for monitoring and optimizing PostgreSQL database activity in production environments. -
20
Supabase MCP Server
Query MCP enables end-to-end management of Supabase via chat interface
An open-source MCP server that enables comprehensive management of Supabase projects through natural language interactions, providing capabilities such as SQL execution, schema management, and API integration. -
21
slow-query-detector
Catch slow queries before your users feel them.
queryd is a lightweight query observability layer for Node.js: driver-agnostic hooks (wrapQueryFn, wrapTaggedTemplate, SlowQueryDetector.executeQuery), optional Prisma integration via @olegkoval/queryd/prisma, sampling, optional per-request query budgets, optional EXPLAIN ANALYZE, and pluggable sinks. -
22
Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
23
Temporal Tables
Postgresql temporal_tables extension in PL/pgSQL
temporal_tables is a PostgreSQL extension that adds temporal support to tables by automatically tracking row history. It enables versioned records, letting users query data as it existed at any point in time. This is ideal for audit logging, data versioning, and time-travel queries without needing manual triggers or archive tables. -
24
RtspSimpleServer
ready-to-use RTSP / RTMP / LL-HLS / WebRTC server and proxy
...Serve multiple streams at once in separate paths Authenticate users; use internal or external authentication. Redirect readers to other RTSP servers (load balancing) Query and control the server through an HTTP API. Reload the configuration without disconnecting existing clients (hot reloading) Read Prometheus-compatible metrics. Run external commands when clients connect, disconnect, read or publish streams. Natively compatible with the Raspberry Pi Camera. Compatible with Linux, Windows and macOS, does not require any dependency or interpreter. -
25
Argo Rollouts
Progressive Delivery for Kubernetes
...Argo Rollouts (optionally) integrates with ingress controllers and service meshes, leveraging their traffic shaping abilities to gradually shift traffic to the new version during an update. Additionally, Rollouts can query and interpret metrics from various providers to verify key KPIs and drive automated promotion or rollback during an update.
