Search Results for "storage"
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Showing 41 open source projects for "storage"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
...It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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OpenViking
Context database designed specifically for AI Agents
...The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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pg_probackup
Backup and recovery manager for PostgreSQL
pg_probackup is an advanced backup and recovery tool for PostgreSQL developed by PostgresPro. It supports full, incremental, and differential backups with compression and encryption, and provides fine-grained control over backup and restore processes. It’s designed for enterprise-grade backup strategies in PostgreSQL environments. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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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. ... -
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Barman for PostgreSQL
Backup and Recovery Manager for PostgreSQL
Barman (backup and recovery manager) is an administration tool for disaster recovery of PostgreSQL servers written in Python. It allows to perform remote backups of multiple servers in business critical environments and help DBAs during the recovery phase. Barman's most wanted features include backup catalogs, retention policies, remote recovery, archiving and compression of WAL files and backups. Barman is written and maintained by PostgreSQL professionals 2ndQuadrant. -
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
...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
...[VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. Has different types of Stores, each with it's own benefits. Eg. Versionstore allows you to version and snapshot stuff, TickStore is for storage and highly efficient retrieval of streaming data, ChunkStore allows you to chunk and efficiently retrieve ranges of chunks. -
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ECOLOG
A database management system for ecological field surveys
ECOLOG is a specimen-based, cross-platform relational database management system, aimed at the storage, retrieval and preliminary analysis of data on sites, species, and specimens gathered in ecological field surveys and biodiversity inventories. The main goal of ECOLOG is to make the data gathered in ecological field surveys readily accessible, providing lists of species collected in the study area and informations on habitat preferences, abundance or rarity of a given species, biometrics, morphology, dominance, and spatial location of each specimen collected in the field. -
Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
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NoDB
NoDB isn't a database.. but it sort of looks like one
NoDB is a simple, lightweight, file-based database for Python applications that enables quick and easy data storage without requiring a separate database server. -
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ECDICT
Free English to Chinese Dictionary Database
...It aggregates headwords, phonetics, parts of speech, translations, and example information into formats that are easy to integrate. The project provides multiple distribution forms—commonly SQLite/CSV/StarDict-style files—so you can choose the right storage and query approach for your app. Because it’s offline and local, it avoids network latency and licensing hurdles that come with calling proprietary dictionary APIs. The dataset is large enough to support general-purpose lookup while being manageable to ship with desktop or mobile apps. For builders, it’s a pragmatic foundation for dictionary apps, pop-up translators, flashcard tools, or NLP preprocessing. -
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nosql-mongodb2013
10gen Education / MongoDB University courses of 2013
10gen Education / MongoDB University courses of 2013: "M101P: MongoDB for Developers", "M102: MongoDB for DBAs" and "M101J: MongoDB for Java Developers" - My code. -
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SDEdumper
Copy multiples feature classes in ArcSDE to a local file geodatabase
Why use it? You can create your own Python script using model builder, but you have to modify the script everytime you want to dump different tables. Using this script you only need to have a CSV with all the table names, that’s it. Purpose: It can be used as an archival and historical database It will make you ArcSDE database portable and shareable -
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TreeLine is an information storage program that uses a tree structure to keep things organized. Each node of the tree can contain several user-defined fields, forming a mini-database.
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DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.
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DirectoryStorage - a ZODB Storage that stores objects in many files, one file per revision of each object. Designed to be robust, manageable, fault tolerant, and scalable.
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Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
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Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
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This is attempt to make an open source bookmarking system that supports tagging, distributed data storage, genetic "splicing" of strains of bookmarking tags and much more!
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pyGTM is a package of python, C and mumps which enables a python module to provide interactive storage retrieval and query of python objects in GT.M (mumps) globals.
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DiskSearch is a tool for searching for files on removable media disks (e.g. for songs on your MP3-CD's). It's written in Python and runs on Linux (and other Unix systems) and Win32.
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A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
