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r-dreamerr
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public |
Set of tools to facilitate package development and make R a more user-friendly place. Mostly for developers (or anyone who writes/shares functions). Provides a simple, powerful and flexible way to check the arguments passed to functions. The developer can easily describe the type of argument needed. If the user provides a wrong argument, then an informative error message is prompted with the requested type and the problem clearly stated--saving the user a lot of time in debugging.
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2025-03-25 |
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r-stringmagic
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public |
Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
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2025-03-25 |
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r-rdrobust
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public |
Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
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2025-03-25 |
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nushell
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public |
A library for reading, writing, and processing SEG-Y seismic data.
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2025-03-25 |
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segysak
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public |
A library for reading, writing, and processing SEG-Y seismic data.
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2025-03-25 |
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addict
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public |
Addict is a dictionary whose items can be set using both attribute and item syntax.
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2025-03-25 |
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r-honestdid
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public |
Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
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2025-03-25 |
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ortools
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public |
Google's Operations Research tools
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2025-03-25 |
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litellm
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public |
Library to easily interface with LLM API providers
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2025-03-25 |
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openai
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public |
Python client library for the OpenAI API
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2025-03-25 |
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haystack-ai
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public |
LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
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2025-03-25 |
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haystack-experimental
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public |
Experimental components and features for the Haystack LLM framework.
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2025-03-25 |
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tableauhyperapi
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public |
Tableau Hyper API for creating and querying Hyper files
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2025-03-25 |
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cvxopt
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public |
Convex optimization package
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2025-03-25 |
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lazy-imports
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public |
Tool to support lazy imports
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2025-03-25 |
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posthog
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public |
Integrate PostHog into any python application
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2025-03-25 |
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pyrestoolbox
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public |
pyResToolbox - A collection of Reservoir Engineering Utilities
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2025-03-25 |
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seeq-spy
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public |
Easy-to-use Python interface for Seeq
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2025-03-25 |
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nb_conda_kernels
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public |
Launch Jupyter kernels for any installed conda environment
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2025-03-25 |
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jupyterhub-singleuser
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public |
Multi-user server for Jupyter notebooks
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2025-03-25 |
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jupyterhub-base
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public |
Multi-user server for Jupyter notebooks
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2025-03-25 |
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jupyterhub
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public |
Multi-user server for Jupyter notebooks
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2025-03-25 |
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pamela
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public |
PAM interface using ctypes
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2025-03-25 |
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gwr-inversion
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public |
GWR Algorithm Numerical Laplace Inversion
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2025-03-25 |
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seeq
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public |
The Seeq SDK for Python
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2025-03-25 |
