Showing 4 open source projects for "mod-ruid2"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    goInception

    goInception

    A MySQL operation and maintenance tool

    goInception is a MySQL maintenance tool, which can be used to review, implement, backup, and generate SQL statements for rollback. It parses SQL syntax and returns the result of the review based on custom rules. GoInception extension of the usage of Inception, to specify the remote server by adding annotations before the SQL review, and for distinguishing SQL and review adding special comments at the beginning and the end of SQL. Any MySQL protocol-driven can connect in the same way, but the...
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  • 2
    Vegeta

    Vegeta

    HTTP load testing tool and library. It's over 9000!

    ...CLI releases are tagged with cli/vMAJOR.MINOR.PATCH and published on the Github releases page. As for the library, new versions are tagged with both lib/vMAJOR.MINOR.PATCH and vMAJOR.MINOR.PATCH. The latter tag is required for compatibility with go mod. The JSON format makes integration with programs that produce targets dynamically easier. Each target is one JSON object in its own line. The method and url fields are required. If present, the body field must be base64 encoded. The generated JSON Schema defines the format in detail.
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  • 3
    DotWeb

    DotWeb

    Simple and easy go web micro framework

    Simple and easy go web micro framework. Important: Now need go1.9+ version support, and Support go mod. support go mod. Support static routing, parameter routing, group routing. Routing supports file/directory services, and supports setting whether to allow directory browsing. HttpModule support, support for custom code capabilities at the global level before routing. Middleware support, support App, Group, Router level settings. Feature support, which can be enabled globally by binding HttpServer. ...
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  • 4
    Revel

    Revel

    A high productivity, full-stack web framework for the Go language

    Edit, save, and refresh. Revel compiles your code and templates for you, so you don't miss a beat. Code doesn't compile? It gives you a helpful description. Run-time code panic? Revel has you covered. Revel provides routing, parameter parsing, validation, session/flash, templating, caching, job running, a testing framework, and even internationalization. Revel is built around composable middleware called filters, which implement nearly all request-processing functionality. Developers have...
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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