Search Results for "linux-secure" - Page 2
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Showing 40 open source projects for "linux-secure"
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Go From Idea to Deployed AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Our Free Plans just got better! | Auth0You 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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pgcat
PostgreSQL pooler with sharding, load balancing and failover support
PgCat is a high-performance PostgreSQL connection pooler and load balancer built for modern, distributed systems. Written in Rust, PgCat is designed to efficiently manage database connections across multiple shards and replicas while supporting features like automatic failover, query-based routing, and observability. It works with both single-node and multi-tenant Postgres setups, making it ideal for cloud-native applications that require scale and reliability. -
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SQLpage
Fast SQL-only data application builder
SQLPage is a rapid application development tool that enables developers to build data-driven web applications using only SQL queries. By writing simple .sql files, users can create interactive web pages that display data as text, lists, grids, plots, and forms, streamlining the process of developing data applications without extensive frontend coding. -
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rust-rocksdb
Rust wrapper for rocksdb
Binding is statically linked with a specific version of RocksDB. If you want to build it yourself, make sure you've also cloned the RocksDB and compression submodules. By default, support for the Snappy, LZ4, Zstd, Zlib, and Bzip2 compression is enabled through crate features. If support for all of these compression algorithms is not needed, default features can be disabled and specific compression algorithms can be enabled. The underlying RocksDB does allow column families to be created and... -
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Stoolap
A Modern Embedded SQL Database written in Rust
Stoolap is a lightweight, self-hosted analysis and visualization tool designed to help developers and operations teams explore log data, metrics, and debugging information from distributed systems or local applications. Instead of relying on heavy commercial observability platforms, stoolap provides a fast, focused interface where users can filter, query, and visualize time-series data, logs, traces, and error metrics in a cohesive environment. Its intuitive query builder lets users craft... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
A highly Performant, Safe, Dynamic SQL(Compile-time) ORM framework written in Rust, inspired by Mybatis and MybatisPlus. Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL... -
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RisingWave
RisingWave: the next-generation streaming database in the cloud
RisingWave is a cloud-native streaming database that uses SQL as the interface. It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs continuous queries, and updates results dynamically. As a database system, RisingWave maintains results in its own storage so that users can access data efficiently. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and materialized CDC... -
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MongoDB Rust Driver
The official MongoDB Rust Driver
The MongoDB Rust Driver is a native, idiomatic Rust client for MongoDB that gives systems software and back-end services the ability to interact with MongoDB from safe, performant Rust code. It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full... -
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falkordb
A super fast Graph Database
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG). -
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sentinel
Sentinel is a filesystem-backed document DBMS written in Rust.
Sentinel is a filesystem-backed document DBMS built in Rust that prioritizes compliance, transparency, and auditability over raw performance. Unlike traditional databases, every document is a plain JSON file, making your data immediately forensic-friendly and Git-versionable. Perfect for regulated industries requiring GDPR, SOC 2, HIPAA, or PCI-DSS compliance. Sentinel provides async operations with automatic BLAKE3 hashing and optional Ed25519 signatures for cryptographic integrity. Data... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end. Migrate from on-prem or other clouds with free migration tools.
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Replibyte
Seed your development database with real data
Replibyte is a blazingly fast tool to seed your databases with your production data while keeping sensitive data safe. Support data backup and restore for PostgreSQL, MySQL and MongoDB. Replace sensitive data with fake data. Works on large database (> 10GB). Database Subsetting: Scale down a production database to a more reasonable size. Start a local database with the prod data in a single command. On-the-fly data (de)compression (Zlib). On-the-fly data de/encryption (AES-256). Fully... -
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seladb/pickledb-rs
PickleDB-rs is a lightweight and simple key-value store
PickleDB-RS is a lightweight, fast, and key-value store written in Rust. Inspired by the Python PickleDB, it provides a simple, NoSQL database for small applications that require persistent key-value storage without the overhead of full-fledged databases. It is designed for speed and ease of use, with a JSON-based storage format. -
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gobang
A cross-platform TUI database management tool written in Rust
A cross-platform TUI database management tool written in Rust. Cross-platform support (macOS, Windows, Linux). Multiple Database support (MySQL, PostgreSQL, SQLite). Intuitive keyboard-only control. gobang means a Japanese game played on goban, a go board. The appearance of goban looks like table structure. If you’re using Homebrew or Linuxbrew, install the gobang formula. If you want to add connections, you need to edit your config file. -
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sled
The champagne of beta embedded databases
Serializable (ACID) transactions for atomically reading and writing to multiple keys in multiple keyspaces. Fully atomic single-key operations, including compare and swap. Forward and reverse iterators over ranges of items. A crash-safe monotonic ID generator capable of generating 75-125 million unique ID's per second. Zstd compression (use the compression build feature, disabled by default). Cpu-scalable lock-free implementation. Flash-optimized log-structured storage. Uses modern b-tree... -
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TensorBase
TensorBase is a new big data warehousing with modern efforts
TensorBase hopes the open source not become a copy game. TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask... -
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WebApp.rs
A web application completely written in Rust
A web application completely written in Rust. Target of this project is to write a complete web application including the backend and front within Rust. The app consists of a frontend and a backend. For getting started with hacking, the backend can be tested via make run-backend, whereas the frontend can be tested with make run-frontend. You can adapt the application configuration within Config.toml if needed. make deploy uses podman to start a PostgreSQL container and the Rust backend...
