The question of comparing binderhubs comes up a lot, so I made a little table:
Note that mybinder.org can send you to 1 of 3 cloud providers or you can use a prefix to use a specific service provider:
| BinderHub | vCPU | RAM (GB) | Cloud provider | Max Session (hr) | Dask-gateway |
|---|---|---|---|---|---|
| binder.pangeo.io | 4 | 8 | Google us-central1 | 3 | yes |
| aws-uswest2-binder.pangeo.io | 4 | 8 | AWS us-west-2 | 3 | yes |
| - | - | - | - | - | - |
| gke.mybinder.org | 1 | 2 | Google us-central1 | 6 | no |
| ovh.mybinder.org | 1 | 2 | OVH ? | ? | no |
| gesis.mybinder.org | 2 | 8 | Custom Server | 6 | no |
On a JupyterHub / BinderHub you can get limits running this command:
printenv | grep LIMIT
Time limits are harder to find. If the binderhub repository is public you can look at the values.yml configuration file
CondaEnvException: Pip failed ERROR: Package ‘xarray’ requires a different Python: 3.6.11 not in ‘>=3.7’
This is an issue with versions in your environment.yml (the error message suggests you have pinned Python=3.6, but some of your packages require Python>=3.7). This unfortunately is quite common when only some packages are pinned, and new releases of unpinned packages lead to incompatible version requirements. Here is a nice blog post on the topic Managing dependencies for reproducible (scientific) software | Noah D. Brenowitz