The dataset contains full time series of satellite and radar images,
weather models and ground observations.
To keep the dataset at a reasonable size, the data covers two geographic
areas of 550km x 550km on the Mediterranean and Brittany coasts, and spans
over 3 years, 2016 to 2018.
We have prepared this free dataset to let the data science community play with it.
Explore it today!
MStarBinToolMaster is an essential utility for developers and enthusiasts working with MStar chipset-based devices. These chipsets are widely used in smart TVs, set-top boxes, and various embedded systems. The tool provides a comprehensive environment for unpacking, modifying, and repacking firmware images, specifically those in the .bin or .pkg format.
One of the most popular uses for MStarBinToolMaster is the customization of smart TV interfaces. Users often want to remove bloatware, change boot animations, or add custom applications that aren't available in the official app store. Because the tool can repack modified partitions back into a flashable image, it bridges the gap between simple exploration and active firmware development. This makes it a staple in the "modding" community for brands like TCL, Skyworth, and HiSense that frequently utilize MStar hardware. mstarbintoolmaster
At its core, the software is designed to handle the complexities of the MStar bootloader and file system structure. Most MStar firmware files are not monolithic blocks of data but rather containers that house multiple partitions, such as the kernel, root file system, and user data. MStarBinToolMaster allows users to see exactly what is inside these containers. By using the tool's extraction features, a developer can pull out individual scripts or binaries to audit the system's startup process or check for security vulnerabilities. One of the most popular uses for MStarBinToolMaster
Have a look at our toolbox which includes data samples from MeteoNet written in python language and our tutorials/documentation which help you explore and cross-check all data types.

Play with it and if you send us your results, we could showcase them on this website!
Download MeteoNetThe data are also available on Kaggle with notebooks to help you explore and cross-check all data types!
You can contribute to challenges and/or propose yours!
Time series prediction
Rainfall nowcasting
Cloud cover nowcasting
Observation data correction
...etc
You did something interesting with our
dataset? Want your project to be showcased here?
Write a blog, contact us on GitHub, and we will come back to you!
Need help? Checkout our documentation, post an issue on our GitHub repository or go to our Slack workspace!
Documentation GitHub SlackYou can find other data on METEO FRANCE public data website. It features real-time, past and forecast data: in situ observations, radar observations, numerical weather models, climate data, climate forecasts and much more!
The Dataset is licenced by METEO FRANCE under Etalab Open Licence 2.0.
Reuse of the dataset is free, subject to an acknowledgement of authorship. For example:
"METEO FRANCE - Original data downloaded from https://meteonet.umr-cnrm.fr/, updated on 30 January 2020".
When using this dataset in a publication, please cite:
Gwennaëlle Larvor, Léa Berthomier, Vincent Chabot, Brice Le Pape, Bruno Pradel, Lior Perez. MeteoNet, an open reference weather dataset by METEO FRANCE, 2020