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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Pythonparser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files.
It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4).
*asammdf* works on Python 2.7, and Python >= 3.4
Python implementation of a mdf file reader
Aim of the project is to implement a parser that can be used in Python based application which work on mdf data.
MDF means Measure Data Format and is a binary format for measurement in the automaitve area
Standalone application that uses the clipboard to insert a tag in any document and/or in a log file.
Tags contain context information (e.g., date, author) + text note, picture or webcam shot.
Tags can contain variables generated by user and/or external programs.
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