OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
WEKA
OpenChrom
Chromeleon
Xcalibur
Analyst
Empower
Clarity
YouNote.io
tryAround
Data from different systems and vendors can be imported and analyzed. It runs under Windows, macOS and Linux. It started out as a ChemStation alternative, but grew larger over time. Its strength is to handle GC/MS and GC/FID measurements. Methods for peak detection, integration, identification, quantitation and reporting are supported. Using internal (ISTD) and external standards (ESTD) for quantitation purposes is supported as well. Additional filter help to optimize the measurements and classifier calculate key values of the chromatographic data and help to point out problems like shifted retention times or degraded columns.
OpenCV OpenChromBased on our record, OpenCV seems to be a lot more popular than OpenChrom. While we know about 50 links to OpenCV, we've tracked only 4 mentions of OpenChrom. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 11 months ago
See if they can automate an existing workflow with https://openchrom.net/ There are special discounts for students. Source: 11 months ago
OpenChrom can be a free alternative for some things. Source: about 1 year ago
The question is which .raw file format. I'd contact https://lablicate.com/ as https://openchrom.net/ seems to support both Agilent .D and several .raw files. Source: about 1 year ago
Http://openchrom.net/ has initial HPLC support. Right-click menu and Chromatogram Filter: Zeroset and Chromatogram Substract may be what you need. Source: over 1 year ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Chromeleon - This chromatography data system (CDS) software performs analytical processes for stand-alone ion, liquid and gas chromatography and mass spectrometry, or for an enterprise-wide solution.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Xcalibur - Control, and process data from Thermo Scientific LC-MS systems and related instruments
NumPy - NumPy is the fundamental package for scientific computing with Python
Analyst - Instrument control, data analysis, reporting, and audit trail for SCIEX Mass Spectrometer systems.
