Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 11

Showing 5765 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"

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  • 1
    Clustering.jl

    Clustering.jl

    A Julia package for data clustering

    Methods for data clustering and evaluation of clustering quality.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Malli

    Malli

    High-performance data-driven data specification library

    Malli is a powerful, data-driven schema library for Clojure and ClojureScript, offering rich support for specification, validation, parsing, error reporting, and generative testing. Designed for performance, Malli leverages efficient runtime representations and code generation, seamlessly integrating with Clojure’s data-oriented architecture. It supports function schemas, JSON transformation, and OpenAPI generation for strong API contracts.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Dask

    Dask

    Parallel computing with task scheduling

    ...It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines.
    Downloads: 3 This Week
    Last Update:
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  • 4
    Polynomials.jl

    Polynomials.jl

    Polynomial manipulations in Julia

    Basic arithmetic, integration, differentiation, evaluation, root finding, and fitting for univariate polynomials in Julia.
    Downloads: 3 This Week
    Last Update:
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    Top Corporate LMS for Training | Best Learning Management Software

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  • 5
    HypothesisTests.jl

    HypothesisTests.jl

    Hypothesis tests for Julia

    HypothesisTests.jl is a Julia package that implements a wide range of hypothesis tests.
    Downloads: 3 This Week
    Last Update:
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  • 6
    Apache InLong

    Apache InLong

    Apache InLong - a one-stop integration framework for massive data

    ...InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats.
    Downloads: 1 This Week
    Last Update:
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  • 7
    SuiteSparseGraphBLAS.jl

    SuiteSparseGraphBLAS.jl

    Sparse, General Linear Algebra for Graphs

    A fast, general sparse linear algebra and graph computation package, based on SuiteSparse:GraphBLAS.
    Downloads: 4 This Week
    Last Update:
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  • 8
    Elementary

    Elementary

    Open-source data observability for analytics engineers

    Elementary is an open-source data observability solution for data & analytics engineers. Monitor your dbt project and data in minutes, and be the first to know of data issues. Gain immediate visibility, detect data issues, send actionable alerts, and understand the impact and root cause. Generate a data observability report, host it or share with your team. Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection. ...
    Downloads: 1 This Week
    Last Update:
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  • 9
    Zabbix plugin for Grafana

    Zabbix plugin for Grafana

    Zabbix plugin for Grafana dashboard

    Grafana Zabbix is a plugin that integrates Zabbix monitoring with Grafana, enabling advanced visualization and analysis of Zabbix metrics using Grafana's powerful dashboard features.
    Downloads: 11 This Week
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    Managed File Transfer Software

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  • 10
    beszel

    beszel

    Lightweight server monitoring hub with historical data, docker stats

    A lightweight server resource monitoring hub with historical data, docker stats, and alerts.
    Downloads: 8 This Week
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  • 11
    airda

    airda

    airda(Air Data Agent

    airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes.
    Downloads: 1 This Week
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  • 12
    Tidier.jl

    Tidier.jl

    Meta-package for data analysis in Julia, modeled after the R tidyverse

    Tidier.jl is a Julia package that brings tidyverse-style data manipulation and analysis to Julia, inspired by R's dplyr and tidyverse. It allows users to write expressive and concise data transformation code using chaining (|>) and intuitive syntax. Built on top of DataFrames.jl, Tidier.jl aims to make data wrangling more accessible to users familiar with R or looking for cleaner data pipelines in Julia.
    Downloads: 2 This Week
    Last Update:
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  • 13
    CompatHelper.jl

    CompatHelper.jl

    Automatically update the [compat] entries for your Julia dependencies

    CompatHelper.jl is a Julia package which keeps your Project.toml [compat] entries up to date.
    Downloads: 5 This Week
    Last Update:
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  • 14
    CausalInference.jl

    CausalInference.jl

    Causal inference, graphical models and structure learning in Julia

    Julia package for causal inference and analysis, graphical models and structure learning. This package contains code for the PC algorithm and the extended FCI algorithm, the score based greedy equivalence search (GES) algorithm, the Bayesian Causal Zig-Zag sampler and a function suite for adjustment set search.
    Downloads: 5 This Week
    Last Update:
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  • 15
    FastGaussQuadrature.jl

    FastGaussQuadrature.jl

    Julia package for Gaussian quadrature

    A Julia package to compute n-point Gauss quadrature nodes and weights to 16-digit accuracy and in O(n) time. So far the package includes gausschebyshev(), gausslegendre(), gaussjacobi(), gaussradau(), gausslobatto(), gausslaguerre(), and gausshermite(). This package is heavily influenced by Chebfun.
    Downloads: 5 This Week
    Last Update:
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  • 16
    Great Expectations

    Great Expectations

    Always know what to expect from your data

    Great Expectations helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. Software developers have long known that testing and documentation are essential for managing complex codebases. Great Expectations brings the same confidence, integrity, and acceleration to data science and data engineering teams. Expectations are assertions for data.
    Downloads: 1 This Week
    Last Update:
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  • 17
    Sweetviz

    Sweetviz

    Visualize and compare datasets, target values and associations

    Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. ...
    Downloads: 2 This Week
    Last Update:
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  • 18
    TableView.jl

    TableView.jl

    A Tables.jl compatible table viewer based on ag-grid

    TableView.jl is an ag-grid-based table viewer built on WebIO.jl. It can display arbitrarily large tables by lazy-loading additional data when scrolling (this is the default for datasets with more than 10k rows).
    Downloads: 3 This Week
    Last Update:
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  • 19
    InMemoryDatasets.jl

    InMemoryDatasets.jl

    Multithreaded package for working with tabular data in Julia

    InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables.
    Downloads: 2 This Week
    Last Update:
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  • 20
    Bukdu.jl

    Bukdu.jl

    Bukdu is a web development framework for Julia

    Bukdu.jl is a web development framework for Julia.
    Downloads: 3 This Week
    Last Update:
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  • 21
    HomotopyContinuation.jl

    HomotopyContinuation.jl

    A Julia package for solving systems of polynomials

    HomotopyContinuation.jl is a Julia package for solving systems of polynomial equations by numerical homotopy continuation. Many models in the sciences and engineering are expressed as sets of real solutions to systems of polynomial equations. We can optimize any objective whose gradient is an algebraic function using homotopy methods by computing all critical points of the objective function. An important special case is when the objective function is the euclidean distance to a given point....
    Downloads: 6 This Week
    Last Update:
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  • 22
    PrestaShop

    PrestaShop

    An open source eCommerce platform

    PrestaShop is an Open Source e-commerce web application, committed to providing the best shopping cart experience for both merchants and customers. It is written in PHP, is highly customizable, supports all the major payment services, is translated in many languages and localized for many countries, has a fully responsive design (both front and back office), etc. See all the available features. This repository contains the source code of PrestaShop, which is intended for development and...
    Downloads: 33 This Week
    Last Update:
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  • 23
    LineSearches.jl

    LineSearches.jl

    Line search methods for optimization and root-finding

    Line search methods for optimization and root-finding. This package provides an interface to line search algorithms implemented in Julia. The code was originally written as part of Optim, but has now been separated out to its own package.
    Downloads: 5 This Week
    Last Update:
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  • 24
    JILL.py

    JILL.py

    A cross-platform installer for the Julia programming language

    The enhanced Python fork of JILL, Julia Installer for Linux (and every other platform), Light.
    Downloads: 4 This Week
    Last Update:
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  • 25
    Surrogates.jl

    Surrogates.jl

    Surrogate modeling and optimization for scientific machine learning

    ...It may be the case we need to solve a PDE for each point or use advanced numerical linear algebra machinery, which is usually costly. The idea is then to develop a surrogate model g which approximates f by training on previous data collected from evaluations of f.
    Downloads: 4 This Week
    Last Update:
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