There are many integrated development environments for data science but which one to choose?
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There are many integrated development environments for data science but which one to choose? For the upcoming EIT Mobility summer school in Lisbon next week I've put together a table of features comparing them. Interested to hear what people use for your #datascience needs #eitmobility.
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There are many integrated development environments for data science but which one to choose? For the upcoming EIT Mobility summer school in Lisbon next week I've put together a table of features comparing them. Interested to hear what people use for your #datascience needs #eitmobility.
@robinlovelace can you add if they are under an Open Source (OSI-approved) license?
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@robinlovelace can you add if they are under an Open Source (OSI-approved) license?
@geospacedman Good idea. Do you know how each scores on that?
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@geospacedman Good idea. Do you know how each scores on that?
@robinlovelace RStudio is AGPL, VSCode is open source but the d/l binaries are built from closed source (see https://vscodium.com/) and Positron is not open source (Elastic license, restricts usage).
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@robinlovelace RStudio is AGPL, VSCode is open source but the d/l binaries are built from closed source (see https://vscodium.com/) and Positron is not open source (Elastic license, restricts usage).
@geospacedman Will add. Many thanks for the info!
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@robinlovelace RStudio is AGPL, VSCode is open source but the d/l binaries are built from closed source (see https://vscodium.com/) and Positron is not open source (Elastic license, restricts usage).
@geospacedman Updated table:
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@geospacedman Updated table:
@geospacedman Update: I think "Source-available" is a better, and more positive, description of it, I mean it's more open that ArcMap for example, right: https://github.com/posit-dev/positron/