5 projects for "raw" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Earn up to 16% annual interest with Nexo. Icon
    Earn up to 16% annual interest with Nexo.

    More flexibility. More control.

    Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
    Get started with Nexo.
  • 1
    Grassroots DICOM

    Grassroots DICOM

    Cross-platform DICOM implementation

    Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets.
    Leader badge
    Downloads: 231 This Week
    Last Update:
    See Project
  • 2
    Cue Sheet Generator

    Cue Sheet Generator

    Easily generate cue sheets for CD images with compressed audio tracks.

    A program to easily generate cue sheets for CD images with compressed or raw (wav) audio tracks, usable, for example, in DosBox.
    Downloads: 13 This Week
    Last Update:
    See Project
  • 3
    SJSON

    SJSON

    Set JSON values very quickly in Go

    ...Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). It’s ideal for manipulating JSON dynamically in Go without bulky models.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    unfluff

    unfluff

    Automatically extract body content (and other cool stuff) from HTML

    ...It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. The repository notes some limitations (e.g., languages like Chinese/Arabic/Korean may not be well-supported). ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Full-stack observability with actually useful AI | Grafana Cloud Icon
    Full-stack observability with actually useful AI | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
    Create free account
  • 5

    Text2XML

    Generic Method for Parsing Text into XML

    Text2XML provides a simple, declarative method of parsing and processing of raw text data into XML. Text2XML uses an XML configuration file which describes the desired XML output, as well as the rules for parsing the text file. Parsing is performed using XPath 2.0 and Regular Expressions. Text2XML can be used from the command line, or it can be embedded into another Java application.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB