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django-tenant-schemas
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public |
Tenant support for Django using PostgreSQL schemas.
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2025-10-05 |
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datasette-render-markdown
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public |
Datasette plugin for rendering Markdown
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2025-10-05 |
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r-mlr3learners
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public |
Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
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2025-10-05 |
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topologicpy
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public |
The python bindings for topologic
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2025-10-05 |
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u8darts-all
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public |
A python library for user-friendly forecasting and anomaly detection on time series.
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2025-10-05 |
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u8darts-notorch
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public |
A python library for user-friendly forecasting and anomaly detection on time series.
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2025-10-05 |
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u8darts-torch
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public |
A python library for user-friendly forecasting and anomaly detection on time series.
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2025-10-05 |
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u8darts
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public |
A python library for user-friendly forecasting and anomaly detection on time series.
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2025-10-05 |
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i-pi
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public |
i-PI: a universal force engine
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2025-10-05 |
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pemja
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public |
PemJa is an open source cross language call framework based on FFI. It aims to provide a high-performance framework of calling between different languages.
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2025-10-05 |
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bump-my-version
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public |
Version bump your Python project
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2025-10-05 |
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django-allauth
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public |
Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication
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2025-10-05 |
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r-mlr3
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public |
Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
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2025-10-05 |
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pyzstd
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public |
Python bindings to Zstandard (zstd) compression library
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2025-10-05 |
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partsegcore-compiled-backend
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public |
PartSeg is a GUI and a library for segmentation algorithms. This is PartSegCore, its compiled backend.
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2025-10-05 |
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r-sparklyr
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public |
R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
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2025-10-05 |
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r-sweep
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public |
Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
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2025-10-05 |
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r-hmisc
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public |
Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
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2025-10-05 |
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r-tidyconsultant
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public |
Loads the 5 packages in the Tidy Consultant Universe. This collection of packages is useful for anyone doing data science, data analysis, or quantitative consulting. The functions in these packages range from data cleaning, data validation, data binning, statistical modeling, and file exporting.
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2025-10-05 |
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jh2
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public |
HTTP/2 State-Machine based protocol implementation
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2025-10-05 |
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r-tinkr
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public |
Parsing '(R)Markdown' files with numerous regular expressions can be fraught with peril, but it does not have to be this way. Converting '(R)Markdown' files to 'XML' using the 'commonmark' package allows in-memory editing via of 'markdown' elements via 'XPath' through the extensible 'R6' class called 'yarn'. These modified 'XML' representations can be written to '(R)Markdown' documents via an 'xslt' stylesheet which implements an extended version of 'GitHub'-flavoured 'markdown' so that you can tinker to your hearts content.
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2025-10-05 |
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glum
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public |
High performance Python GLMs with all the features!
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2025-10-05 |
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pwtools
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public |
pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS.
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2025-10-05 |
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r-spdep
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public |
A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of the measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>. From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions previously present in this package are defunct in 'spdep' and may be found in 'spatialreg'.
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2025-10-05 |
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r-alphavantager
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public |
Alpha Vantage has free historical financial information. All you need to do is get a free API key at <https://www.alphavantage.co>. Then you can use the R interface to retrieve free equity information. Refer to the Alpha Vantage website for more information.
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2025-10-05 |
