Search Results for "without database"
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Showing 8 open source projects for "without database"
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Context for your AI agentsBuild 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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sqldef
Idempotent schema management for MySQL, PostgreSQL, and more
sqldef is a schema migration tool that automatically generates SQL migration statements by comparing database schemas. Instead of writing migrations manually, developers define the desired schema, and sqldef computes the difference. It's compatible with MySQL, PostgreSQL, SQLite, and others, making migrations safer and more maintainable. -
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PgAgroal
High-performance connection pool for PostgreSQL
pgagroal is a high-performance PostgreSQL connection pooler written in C, designed for minimal latency and efficient resource usage. It provides features like secure authentication, hot reloading, and support for multiple databases, making it suitable for low-latency applications and microservice architectures. pgagroal is optimized for fast startup, low overhead, and easy integration. -
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Temporal Tables
Postgresql temporal_tables extension in PL/pgSQL
temporal_tables is a PostgreSQL extension that adds temporal support to tables by automatically tracking row history. It enables versioned records, letting users query data as it existed at any point in time. This is ideal for audit logging, data versioning, and time-travel queries without needing manual triggers or archive tables. -
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SPQR
Stateless Postgres Query Router
SPQR is a sharding proxy for PostgreSQL that enables horizontal scalability by distributing queries across multiple PostgreSQL instances. Designed for large-scale, multi-tenant architectures, SPQR routes, rewrites, and manages SQL queries to ensure they are executed efficiently across shards. It provides a PostgreSQL-compatible interface so applications can scale transparently without code changes. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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5
DbTpl
Command line tool to generate idiomatic Go code for SQL databases
dbtpl is a Go-based tool that brings templated SQL into your codebase in a clean and structured way. It allows developers to define raw SQL queries in .tpl.sql files and compile them into Go code with strong typing and minimal overhead. By combining SQL’s power with Go’s safety and performance, dbtpl is ideal for teams that want full SQL control without sacrificing maintainability. -
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Blazer
Business intelligence made simple
Blazer is a business-intelligence engine for Rails that lets teams write SQL in the browser, visualize the results, and share insights without leaving their app. It turns raw database queries into charts, tables, and dashboards, so non-engineers can explore data with minimal friction. Queries can accept parameters, enabling reusable reports for different time ranges, segments, or customers. Access controls and audit trails help teams manage who can run, edit, or view sensitive analyses. ... -
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SQLer
write APIs using direct SQL queries with no hassle
sqler is a lightweight API gateway that automatically exposes your SQL database as a RESTful API. It allows developers to run parameterized SQL queries safely over HTTP, turning databases into microservices without writing backend code. sqler is great for prototyping, dashboards, and internal tools with quick database integration. -
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Falcon
Free, open-source SQL client for Windows and Mac
Falcon is a free, open-source SQL editor with inline data visualization. With Falcon you can connect to your database in the Connection tab, run SQL queries in the Query tab, then export your results as a CSV or open them in the Chart Studio to unlock the full power of Plotly graphs. Optionally, you can use Falcon as a middleman between plot.ly and your database - so that when your database updates, your charts and dashboards update as well. Currently, Falcon supports connections to RedShift, MySQL, PostgreSQL, IBM DB2, Impala, MS SQL, and SQLite. ...
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