Showing 2 open source projects for "log"

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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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  • Rule contracts and sales documents with AI Docs Icon
    Rule contracts and sales documents with AI Docs

    Enjoy configuring and managing sales docs, contracts and letters with ChatGPT-integrated AI Docs.

    Users configure documents in the “Configuration UI”. Both traditional rules and artificial intelligence guide users through the configuration process in a structured way. Once complete, users select ‘Build & Save’. Then, AI Docs’ document logic translates users’ entries into the perfect “Configured Doc”.
    Learn More
  • 1
    Rbatis

    Rbatis

    Rust High Performance compile-time ORM(RBSON based)

    ...High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. Supports logging, customizable logging based on log crate. 100% Safe Rust with #![forbid(unsafe_code)] enabled. rbatis/example (import into Clion!). abs_admin project an complete background user management system( Vue.js+rbatis+actix-web).
    Downloads: 0 This Week
    Last Update:
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  • 2
    sled

    sled

    The champagne of beta embedded databases

    ...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 techniques such as prefix encoding and suffix truncation for reducing the storage costs of long keys with shared prefixes. If keys are the same length and sequential then the system can avoid storing 99%+ of the key data in most cases, essentially acting like a learned index. sled performs prefix encoding on long keys with similar prefixes that are grouped together in a range, as well as suffix truncation to further reduce the indexing costs of long keys.
    Downloads: 0 This Week
    Last Update:
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