| Package Name | Access | Summary | Updated |
|---|---|---|---|
| xonsh | public | Python-powered, cross-platform, Unix-gazing shell | 2026-03-05 |
| cohere | public | The Cohere Python SDK allows access to Cohere models across many different platforms: the cohere platform, AWS (Bedrock, Sagemaker), Azure, GCP and Oracle OCI. For a full list of support and snippets, please take a look at the SDK support docs page (https://docs.cohere.com/docs/cohere-works-everywhere). | 2026-02-25 |
| jupyterlab_code_formatter | public | A universal code formatter for JupyterLab. | 2026-02-11 |
| r-rattle | public | The R Analytic Tool To Learn Easily (Rattle) provides a collection of utilities functions for the data scientist. A Gnome (RGtk2) based graphical interface is included with the aim to provide a simple and intuitive introduction to R for data science, allowing a user to quickly load data from a CSV file (or via ODBC), transform and explore the data, build and evaluate models, and export models as PMML (predictive modelling markup language) or as scores. A key aspect of the GUI is that all R commands are logged and commented through the log tab. This can be saved as a standalone R script file and as an aid for the user to learn R or to copy-and-paste directly into R itself. | 2026-02-11 |
| flask-mqtt | public | Simple, Flask Extension for the MQTT protocol | 2026-01-26 |
| orange3-associate | public | Frequent itemsets and association rules mining for Orange 3 | 2026-01-12 |
| r-teal.data | public | Provides a 'teal_data' class as a unified data model for 'teal' applications focusing on reproducibility and relational data. | 2025-11-05 |
| terraform-provider-sshtunnel | public | The Terraform sshtunnel provider | 2025-11-01 |
| pygdma | public | A. J. Stone's Distributed Multipole Analysis for Gaussian wavefunctions | 2025-10-05 |
| xeus-r | public | R kernel for Jupyter based on xeus | 2025-09-25 |
| r-r.cache | public | Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system). | 2025-09-10 |
