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Awesome GitHub RepositoriesDataset Mutation Tracking

Recording and versioning every change made to a dataset for state recovery and reproducibility.

Distinct from Mutation Monitors: Focuses on the commit history of dataset mutations rather than the operational monitoring of active mutations.

Explore 2 awesome GitHub repositories matching data & databases · Dataset Mutation Tracking. Refine with filters or upvote what's useful.

Awesome Dataset Mutation Tracking GitHub Repositories

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  • lancedb/lancedblancedb 的头像

    lancedb/lancedb

    9,031在 GitHub 上查看↗

    LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters

    Commits every mutation as a new version and allows pinning to tags for reproducibility.

    HTMLapproximate-nearest-neighbor-searchimage-searchnearest-neighbor-search
    在 GitHub 上查看↗9,031
  • rdatatable/data.tableRdatatable 的头像

    Rdatatable/data.table

    3,894在 GitHub 上查看↗

    该项目是一个针对 R 的高性能表格数据处理框架,旨在以内存效率和速度处理海量数据集。它提供了一种增强的数据结构,利用引用语义和就地修改来执行复杂的转换,而无需不必要的对象复制开销。 该库凭借其底层架构优化脱颖而出,包括多线程并行处理、基数排序和内存映射文件解析。通过将关键的数据操作和聚合例程卸载到编译后的 C 代码,它实现了对原本计算昂贵的任务的快速执行。其核心引擎支持高级关系操作,如非等值连接、滚动连接和重叠区间连接,以及用于加速重复数据访问的自动二级索引。 除了主要的处理功能外,该项目还提供了一套全面的数据生命周期管理工具。这包括具有自动类型检测的高速摄取和序列化工具,以及对时间序列分析和多维聚合的专门支持。该框架旨在实现可扩展性,允许用户在包含数十亿行的数据集上执行复杂的分组、过滤和重塑操作,同时保持系统稳定性和性能。

    Returns the number of rows modified during the most recent in-place update to monitor mutation scale.

    R
    在 GitHub 上查看↗3,894
  1. Home
  2. Data & Databases
  3. Remote Mutation Execution
  4. Mutation Monitors
  5. Dataset Mutation Tracking

探索子标签

  • In-Place Mutation CountersReporting the number of rows modified during in-place operations to monitor mutation scale. **Distinct from Dataset Mutation Tracking:** Distinct from Dataset Mutation Tracking: focuses on real-time reporting of row-level mutation counts rather than historical versioning.