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The main objective of this mini-hackathon project is to simplify the way TemporalDistributions are added to exchanges. I developed a streamlit app that provides different ways of selecting exchanges and then provides a graphical user-interface for creating and adding temporal distributions. As a "little extra", you can also directly use the temporalized data to calculate TimexLCAs and look at the results in an interactive way.
There is an online version on streamlit cloud which contains some example databases. However, this app is probably most useful if connected to a larger database and run locally (or on some non-public server). To simplify local setups, this app is packaged and available on PyPi and conda. There is also a (sometimes working) entry point called bw-timex. More info in the GitHub Readme.
The main objective of this mini-hackathon project is to simplify the way TemporalDistributions are added to exchanges. I developed a streamlit app that provides different ways of selecting exchanges and then provides a graphical user-interface for creating and adding temporal distributions. As a "little extra", you can also directly use the temporalized data to calculate TimexLCAs and look at the results in an interactive way.
There is an online version on streamlit cloud which contains some example databases. However, this app is probably most useful if connected to a larger database and run locally (or on some non-public server). To simplify local setups, this app is packaged and available on PyPi and conda. There is also a (sometimes working) entry point called
bw-timex
. More info in the GitHub Readme.Online-version: https://bw-timex.streamlit.app
GitHub: https://github.com/TimoDiepers/bw_timex_app
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