Showing 3 open source projects for "capture"

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  • 1
    Anyhow

    Anyhow

    Flexible concrete Error type built on std::error::Error

    ...The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions from path X”) using .context() or .with_context(). It supports downcasting (so you can inspect the underlying error type), and for recent versions of Rust, it will capture backtraces by default when the underlying error type doesn’t already. It also supports no_std mode (in limited form) by disabling default features. The README distinguishes it from library-oriented error crates (like thiserror): use anyhow when you just care about application-level error handling, not fine-grained types.
    Downloads: 0 This Week
    Last Update:
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  • 2
    ReductStore

    ReductStore

    The fastest time series object store for Edge AI

    ...Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. Capture and access blob data as time series, tailored for edge computing, computer vision, and IoT. ReductStore handles blob data without size limits; your disk capacity is the only boundary. Ensure optimal storage management with FIFO quotas, preventing disk space shortages in real-time. Manage your time-series blob data with ease: annotate, filter, and save AI labels or meta-data. ...
    Downloads: 2 This Week
    Last Update:
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  • 3
    OmniPull

    OmniPull

    Just pull anything

    OmniPull is a powerful, cross-platform download manager built with Python and PySide6. It provides a modern, intuitive interface for managing downloads with advanced features like multi-threading, queue management, and media extraction.
    Downloads: 8 This Week
    Last Update:
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