[Numpy-discussion] ANN: DataLab v0.11 Released
Hello everyone, We're excited to announce the release of DataLab v0.11, alongside a completely redesigned website: https://codra-ingenierie-informatique.github.io/DataLab DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. Once again, this release is the result of the feedback and contributions of our early adopters. We're grateful for your support and look forward to your continued insights. 💥 New Features: - Enhanced tree view for signals and images with drag and drop functionality. - Advanced 1D interpolation and resampling features for signals. - New intensity profile features for images (e.g. radial profile). - Plot results obtained from signal and image computations. - And many other improvements (plugin API, 1D/2D computing results, profile extraction, ...) 🌐 Revamped Website: - Comprehensive documentation of features and public API. - "Getting Started" guides with overviews, use cases, and detailed tutorials, including videos (example data sets are mainly based on contributions from our early adopters). 💡 You have a project or a use case in mind? (we can even write a tutorial for you...) You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue (https://github.com/Codra-Ingenierie-Informatique/DataLab/issues/new/choose) on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] ANN: DataLab v0.12
Hello everyone, We're thrilled to announce the release of DataLab v0.12! https://datalab-platform.github.io DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. Once again, this release is the result of the feedback and contributions of our early adopters. We're grateful for your support and look forward to your continued insights. 💥 New Features: - New tour (when starting DataLab for the first time) and demo features. - New "Text file import assistant" feature for easily importing data from arbitrary text files. - New statistics calculations, intensity profile graphical features, ... 🚀 New Binder environment to test DataLab online without installing anything: https://mybinder.org/v2/gh/DataLab-Platform/DataLab/binder-environments?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FDataLab-Platform%252FDataLab%26urlpath%3Ddesktop%252F%26branch%3Dbinder-environments 📚 Documentation: - New text tutorials are available: "Measuring Laser Beam Size", "DataLab and Spyder: a perfect match" - New "Contributing" section explaining how to contribute to DataLab, whether you are a developer or not - New "Macros" section explaining how to create and use macros in DataLab 💡 You have a project or a use case in mind? (we can even write a tutorial for you...) You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue ( https://github.com/Codra-Ingenierie-Informatique/DataLab/issues/new/choose) on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre Raybaut ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] ANN: DataLab v0.14
Hello everyone, We're thrilled to announce the release of DataLab v0.14! https://datalab-platform.com DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. It's extendable with plugins, and works seamlessly as a complementary tool with your IDE (e.g. #Spyder, VSCode, ...) and Project Jupyter notebooks. Once again, this release is the result of the feedback and contributions of our early adopters. We're grateful for your support and look forward to your continued insights. 💥 New Features: - Brand new HDF5 browser: now shows all datasets, group properties and attributes. - New "Text file import assistant: various enhancements. - Other improvements (colormap inversion, signal/image histogram, ...) 🚀 New Binder environment to test DataLab online without installing anything: https://mybinder.org/v2/gh/DataLab-Platform/DataLab/binder-environments?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FDataLab-Platform%252FDataLab%26urlpath%3Ddesktop%252F%26branch%3Dbinder-environments 💡 You have a project or a use case in mind? (we can even write a tutorial for you...) You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue ( https://github.com/Codra-Ingenierie-Informatique/DataLab/issues/new/choose) on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre Raybaut ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] ANN: DataLab v0.15
Hello everyone, We're excited to announce the release of DataLab v0.15! https://datalab-platform.com Note that the v0.15.1 release fixes a very annoying issue on macOS (screen flickering when switching from a signal/image object to another). DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. It's extendable with plugins, and works seamlessly as a complementary tool with your IDE (e.g. Spyder, VSCode, ...) and Project Jupyter notebooks. Once again, this release is the result of the feedback and contributions of our early adopters. We're grateful for your support and look forward to your continued insights. 💥 New Features: - Added support for large CSV/text files (when opening or importing data in Signal Panel, for example). Need to work on a GB file ? No worry, DataLab won't freeze - New auto downsampling feature for visualizing large signals -- handling 100Mpts signals without slowing down the user experience! - New MSI installer (replacing the old EXE installer for the stand-alone version on Windows) to avoid false positive detection by antiviral software 💡 You have a project or a use case in mind? (we can even write a tutorial for you...) You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue ( https://github.com/DataLab-Platform/DataLab/issues/new/choose) on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre Raybaut ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] ANN: DataLab v0.16
Hello everyone, We're thrilled to announce the release of DataLab v0.16! https://datalab-platform.com DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. It's extendable with plugins, and works seamlessly as a complementary tool with your IDE (e.g. Spyder, VSCode, ...) and Project Jupyter notebooks. The main idea behind DataLab is to propose in a single software not only a no-code solution for processing and visualizing signals and images, but also a **simple yet powerful self-consistent platform** that is highly extendable with plugins, macros or directly by remote-control (from your favorite IDE or Jupyter Notebook). So, with DataLab, you have the best of both worlds: no-code solution for quick data processing, and Python code solution for more advanced processing with your own Python scripts and libraries. 💥 New Features: - Major user interface overhaul: reorganized menus and toolbars, new icons, ... - New validation process for testing processing features from a mathematical point of view - Signal processing: offset correction, power spectrum, PSD, frequency filters, windowing, ... - Image processing: thresholding, intensity profile along a segment, ... More information on the new features and improvements can be found in the release notes: https://datalab-platform.com/en/contributing/changelog.html 💡 You have a project or a use case in mind? You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre Raybaut ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
