Search Results for "performance"
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Showing 22 open source projects for "performance"
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OpenViking
Context database designed specifically for AI Agents
OpenViking is an open-source context database engineered for efficient indexing and retrieval of large amounts of unstructured or semi-structured context data used by AI applications. It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. ... -
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CogDB
Micro Graph Database for Python Applications
Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics. -
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sqlite-web
Web-based SQLite database browser written in Python
...Users can add or drop tables, columns, and indexes, and they can import or export data in JSON or CSV format. It can run from the command line, through Docker, or with a higher-performance gevent WSGI server, making it useful for quick database inspection, lightweight administration, and local development workflows. -
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Motor
The async Python driver for MongoDB and Tornado or asyncio
Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Full Stack FastAPI and PostgreSQL
Full stack, modern web application generator
Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Get production-ready code. With automatic interactive documentation. ... -
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. 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. ... -
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Firebird
A powerful, cross platform, SQL database system
Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language. More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues -
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
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Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some... -
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aiopg
aiopg is a library for accessing a PostgreSQL database
aiopg is an asynchronous PostgreSQL database driver for Python built on top of asyncio and psycopg2. It provides support for asynchronous query execution and connection pooling, enabling efficient, non-blocking database access in Python applications. aiopg is well-suited for web services and microservices that require concurrency without threads. -
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Thesa
It is a Platform to connect to tryton (json-rpc) and is based on qt
...Tabs are created with qml files and can be loaded locally from a folder or from trytond using thesamodule (https://github.com/numaelis/thesamodule). Thesa's goal is to be able to combine tryton with Qt / Qml, for special cases such as using the opengl performance of qml2 Requirements: pyside2 5.12 or higher: https://download.qt.io/official_releases/QtForPython/pyside2/ Run: python3 main.py you can find source code in: https://github.com/numaelis/thesa -
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littletable is a lightweight in-memory data manager of collections of Python objects, providing ORM-like access for querying and joining data using object attributes as pseudo-columns.
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LightProfiler
Profiler for Oracle extended SQL trace files
LightProfiler – application for performance analysis of the Oracle databases. It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor parameters, blocking locks, events and etc.) -
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StackCollect
A server and database monitoring platform.
The StackCollect SCM is written in Python and is free to download, more advanced features can be purchased from StackCollect. Monitored Server Platforms Include: Windows Server 2012 R2 Monitored Database Platforms Include: PostgreSQL Microsoft SQL Server MariaDb MySQL -
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DataCopy For SQLServer
Data Copy tool for SQL Server and Oracle
Migrate your data from SQLServer to Oracle without creating single dump file. Input is a SQLServer query file defining dataset you want to copy to Oracle. Target table has to exist for copy to go through. Turbo mode offers 5x copy performance improvement. -
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Data Spooler for SQLServer #SaveUkraine
Extracts table or query data from SQL Server 2005, 2008, 2012
#SaveUkraine #StopRussia #FreeUkraine #StopPutin #CrimeaIsUkraine #UnitedForUkraine #RussiaInvadedUkraine Spools/extracts/dump table or query data from SQL Server 2015, 2008,2012. Serial spool creates single dump file. Turbo mode offers 5x spool performance improvement. Sharded turbo more creates multiple files. -
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BlackRay is a persistent in-memory high performance relational database written in C++. It combines regular database features with search engine like performance. Please visit https://forge.softmethod.de for the main development site.
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BlackRay is a high performance relational database, which combines regular database features with search engine like performance. Full transaction support, SQL and version controlled persisted snapshots characterize BlackRay.
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Investment firms have largely managed to industrialize or outsource their back-office activities.It is now time for them to go for the next step :the automation of middle-office activities such as portfolio reporting or investment performance calculation
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PDO: Python Database Objects. Database Module for Python based upon DB-API 2.0: featuring column access by name and high performance. Similar in API to ADO, JDBC.
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CostosPy esta diseñado para manejar la ejecucion de pequeños proyectos de construcción, ayudar a la facturación y el analisis dia a dia de costos vs producido.
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PyCache is analog Memcached, is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
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