Search Results for "cloud"
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Showing 11 open source projects for "cloud"
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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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sqlit
A user friendly TUI for SQL databases
...It positions itself as a “lazygit-style” experience for databases, aiming for fast startup, intuitive navigation, and developer-friendly workflows directly inside your terminal. The tool supports a wide range of database providers, so you can use one interface across local databases, remote servers, and cloud-hosted instances rather than juggling multiple clients. It includes a connection manager so you can save connections and switch between them without constantly retyping CLI arguments or connection strings. For querying, it emphasizes productivity features like syntax highlighting, searchable query history, and vim-style keybindings so power users can move fast. ... -
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Enferno
Modern Flask framework optimized for AI-assisted development
Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics. -
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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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SpeechRecognition
Speech recognition module for Python
Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Grafana
Leading open-source visualization and observability platform
...Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
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OSV.dev
Open source vulnerability DB and triage service
...The platform includes a web UI, API, and a Go-based dependency scanner that checks software dependencies, container images, SBOMs (SPDX, CycloneDX), and Git repositories for known vulnerabilities. This repository contains the full infrastructure code for deploying osv.dev on Google Cloud Platform, including Terraform configurations, APIs, data pipelines, indexers, and background workers for vulnerability ingestion and impact analysis. It also integrates with automated feeds from sources like NVD and OSS-Fuzz, enabling continuous updates and high data accuracy. -
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Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
...Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks. It is recommended to explore them. All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. ... -
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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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Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.
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Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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Green Cloud Online portal
Green cloud: A versatile sensor based precision agriculture system, in
In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. -
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Indxonater was pulled into life after my bosses told me we needed a program to update our Wikindx that doesn't involve Endnote or BibTex. Shazam! Indxonater takes average APA styled bibliographies and turns them into funk! (Interaction required)
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