Showing 5 open source projects for "connect"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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  • Add Two Lines of Code. Get Full APM. Icon
    Add Two Lines of Code. Get Full APM.

    AppSignal installs in minutes and auto-configures dashboards, alerts, and error tracking.

    Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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  • 1
    Dolt

    Dolt

    Dolt, it's Git for data

    Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository. Connect to Dolt just like any MySQL database to run queries or update the data using SQL commands. Use the command line interface to import CSV files, commit your changes, push them to a remote, or merge your teammate's changes. All the commands you know for Git work exactly the same for Dolt. Git versions files, Dolt versions tables. It's like Git and MySQL had a baby.
    Downloads: 5 This Week
    Last Update:
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  • 2
    pq

    pq

    Pure Go Postgres driver for database/sql

    In most cases clients will use the database/sql package instead of using this package directly. Similarly to libpq, when establishing a connection using pq you are expected to supply a connection string containing zero or more parameters. A subset of the connection parameters supported by libpq are also supported by pq. Additionally, pq also lets you specify run-time parameters (such as search_path or work_mem) directly in the connection string. This is different from libpq, which does not...
    Downloads: 0 This Week
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  • 3
    Cloud SQL Auth Proxy

    Cloud SQL Auth Proxy

    A utility for connecting securely to your Cloud SQL instances

    Cloud SQL Proxy is a secure connectivity utility that enables applications to connect to Google Cloud SQL instances without requiring manual configuration of SSL certificates or network access rules. It works by establishing an encrypted connection between the client and the Cloud SQL instance using TLS and authenticating requests through Google Cloud IAM, ensuring that only authorized users or services can access the database.
    Downloads: 0 This Week
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  • 4
    gen

    gen

    Converts a database into gorm structs and RESTful api

    The gen tool produces a CRUD (Create, read, update and delete) REST API project template from a given database. The gen tool will connect to the db connection string analyze the database and generate the code based on the flags provided. By reading details from the database about the column structure, gen generates a go-compatible struct type with the required column names, data types, and annotations. It supports gorm tags and implements some usable methods. Generated data types include support for nullable columns sql.NullX types or guregu null.X types and the expected basic built-in go types. gen is based / inspired by the work of Seth Shelnutt's db2struct, and Db2Struct is based/inspired by the work of ChimeraCoder's gojson package gojson. ...
    Downloads: 0 This Week
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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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  • 5
    Cayley

    Cayley

    An open-source graph database

    ...Cayley has a built-in query editor, visualizer and REPL, as well as support for multiple Query languages, including Gizmo (Gremlin dialect), MQL and GraphQL dialect. Cayley is also highly modular, so you can easily extend and connect it to your favorite programming languages and back-end stores. Cayley works on top of your existing database no matter the data model. It’s been well tested by numerous companies for their production workloads and is therefore very production-ready.
    Downloads: 0 This Week
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