Showing 2 open source projects for "west point"

View related business solutions
  • AI-powered service management for IT and enterprise teams Icon
    AI-powered service management for IT and enterprise teams

    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
    Try it Free
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 1

    drawx

    Fastest crossplot in the west. Data masking capabilities & animations

    drawx is a graphics tool for examining ascii data generated elsewhere. drawx is based on X11 and uses basic xlib commands that make drawx fast, portable, and well suited for examining large volumes of data. The expected input for drawx is columnar ascii files and optional drawx directives that can influence how the data are viewed (e.g. plot titles, color, symbols or lines, column titles, etc.). Data in each column is separated by white-space that can be SPACE characters, commas, or tabs....
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Rainflow

    Rainflow

    Fast rainflow counting written in C (C99)

    Rainflow Counting Algorithm (4-point-method), C99 compliant. "Rainflow Counting" consists of four main steps: 1. Hysteresis Filtering 2. Peak-Valley Filtering 3. Discretization 4. Four Point Counting Method: These steps are fully documented in standards such as ASTM E1049 "Standard Practices for Cycle Counting in Fatigue Analysis" [1]. This implementation uses the 4-point algorithm mentioned in [2].
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB