Showing 1445 open source projects for "python linux"

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    Automate contact and company data extraction

    Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.

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  • 1
    Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
    Downloads: 0 This Week
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  • 2
    ERP OS

    ERP OS

    It’s a Lubuntu based ERP OS. Get two ERP software preinstalled

    It’s a Lubuntu based ERP OS. Get two ERP (ERPNext & Odoo) software preinstalled at once. All official free apps included with Odoo. Download file size is about 3.4 GB. Use password below if asked anywhere esite.pk Do remember to rate & review this project here on the SourceForge. Become my patron https://patreon.com/asakpke https://www.youtube.com/channel/UCmSdMtbVfU2vxpJrsOQGVJA?sub_confirmation=1
    Downloads: 3 This Week
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  • 3
    Gammu

    Gammu

    Cellular manager for mobile phones/modems

    Gammu is a cellular manager for mobile phones/modems. It contains libraries and functions for ringtones,logos,phonebook,SMS,etc. (used by external software), a command line version (with backup/restore) and SMS gateway (with MySQL and PostgreSQL supp
    Downloads: 31 This Week
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  • 4
    Optimus

    Optimus

    Agile Data Preparation Workflows made easy with Pandas

    Easily write code to clean, transform, explore and visualize data using Python. Process using a simple API, making it easy to use for newcomers. More than 100 functions to handle strings, process dates, urls and emails. Easily plot data from any size. Out-of-box functions to explore and fix data quality. Use the same code to process your data in your laptop or in a remote cluster of GPUs.
    Downloads: 1 This Week
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  • The Original Buy Center Software. Icon
    The Original Buy Center Software.

    Never Go To The Auction Again.

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  • 5

    Spectral Python

    A python module for hyperspectral image processing

    Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
    Downloads: 0 This Week
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  • 6
    Yemeksepeti and Banabi Order

    Yemeksepeti and Banabi Order

    Python application that automatizes your food and grocery orders

    Yemeksepeti and Banabi Order Automatization is a desktop application provides automatization for you to order from both online food delivery website, Yemeksepeti and its grocery shopping delivery service, Banabi. This automatization app reinforces the purpose of Yemeksepeti, saving time.
    Downloads: 0 This Week
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  • 7
    Forecasting Best Practices

    Forecasting Best Practices

    Time Series Forecasting Best Practices & Examples

    Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than...
    Downloads: 0 This Week
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  • 8
    repo2docker GitHub Action

    repo2docker GitHub Action

    A GitHub action to build data science environment images

    Trigger repo2docker to build a Jupyter enabled Docker image from your GitHub repository and push this image to a Docker registry of your choice. This will automatically attempt to build an environment from configuration files found in your repository. Images generated by this action are automatically tagged with both latest and <SHA> corresponding to the relevant commit SHA on GitHub. Both tags are pushed to the Docker registry specified by the user. If an existing image with the latest tag...
    Downloads: 0 This Week
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  • 9
    Free Queue Manager

    Free Queue Manager

    Web based python-flask Queue management system

    A web based management system developed for the purpose of easing the process of orgnizing queues and lines. Like many other (QMS)s Queue Management Systems, FQM does provide a basic dashboard to allow the users of the system and customers alike to interact with the system via a basic yet simple user interface . Brief user guide can be found on https://fqms.github.io/images/user_guide.pdf
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    Downloads: 11 This Week
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  • Pest Control Management Software Icon
    Pest Control Management Software

    Pocomos is a cloud-based field service solution that caters to businesses

    Built for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
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  • 10
    Bashtop

    Bashtop

    Linux/OSX/FreeBSD resource monitor

    Bashtop is a resource monitor written primarily in Bash with some Python support, displaying real-time usage of system resources: CPU, memory, disks, network, and processes. It provides an interactive, visually pleasant UI in the terminal (graphs, colors, etc.), process list filtering, sorting, and controls to send signals to processes. Bashtop supports themes, configurable update intervals, and has optional dependencies to augment its functionality (e.g. for temperature, extended stats). It...
    Downloads: 0 This Week
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  • 11

    QuiclickRNAseq

    An integrated pipeline for RNA-seq analysis

    Quiclick is a python framework for RNA-seq data analysis, including data trimming, mapping, counting and RNA editing analysis.
    Downloads: 0 This Week
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  • 12
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can...
    Downloads: 0 This Week
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  • 13
    SageMaker Containers

    SageMaker Containers

    Create SageMaker-compatible Docker containers

    Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to...
    Downloads: 0 This Week
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  • 14
    Ronda diaria
    Pequeño programa escrito en Python y TKinter para anotar los registros de una ronda diaria a un edificio queden registrados.
    Downloads: 0 This Week
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  • 15

    ICDtools

    Tools for ICD (International Classification of Diseases) data

    Currently implemented: Python parser to import ICD10 XML data into a relational PostgreSQL database Sponsored by Ordium Biotechnology https://ordium.ai MIT License
    Downloads: 0 This Week
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  • 16
    DepHell

    DepHell

    Python project management. Manage packages

    DepHell is a Python packaging and dependency management tool that aims to unify and simplify the Python packaging ecosystem. It can convert between various formats (Pipfile, poetry, setup.py, etc.), manage virtual environments, and ensure reproducible builds. It's a powerful tool for Python developers juggling complex dependencies.
    Downloads: 0 This Week
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  • 17
    Data Science at the Command Line

    Data Science at the Command Line

    Data science at the command line

    ...You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
    Downloads: 0 This Week
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  • 18
    Crystalsim -  XRD hkl simulation

    Crystalsim - XRD hkl simulation

    X-ray diffraction (XRD) analysis for hkl simulation of any crystal.

    Crystalsim is a simple freeware program with a neat graphical user interface for X-ray diffraction (XRD) data analysis . It can simulates all possible {hkl} planes data for the selected crystal. Crystallographic Information File (.cif) can also be used. Analyze both powder diffraction and single crystal data . Indexed at International Union of Crystallography (IUCR). Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta,...
    Downloads: 6 This Week
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  • 19
    QtiPlot
    QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
    Downloads: 38 This Week
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  • 20
    FuzzyWuzzy

    FuzzyWuzzy

    Fuzzy string matching in Python

    We’ve made it our mission to pull in event tickets from every corner of the internet, showing you them all on the same screen so you can compare them and get to your game/concert/show as quickly as possible. Of course, a big problem with most corners of the internet is labeling. One of our most consistently frustrating issues is trying to figure out whether two ticket listings are for the same real-life event (that is, without enlisting the help of our army of interns). To pick an example...
    Downloads: 0 This Week
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  • 21
    An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
    Downloads: 0 This Week
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  • 22
    SCiDA Pro

    SCiDA Pro

    Program for solar cell production data analysis

    The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages
    Downloads: 1 This Week
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  • 23
    istSOS

    istSOS

    Free and Open Source Sensor Observation Service Data Management System

    istSOS is an OGC SOS server implementation written in Python. istSOS allows for managing and dispatch observations from monitoring sensors according to the Sensor Observation Service standard. The project provides also a Graphical user Interface that allows for easing the daily operations and a RESTful Web api for automatizing administration procedures. istSOS is released under the GPL License, and runs on all major platforms (Windows, Linux, Mac OS X), even though tests were conducted under a Linux environment.
    Downloads: 4 This Week
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  • 24
    The TRANSIMS Studio application is an integrated development environment for the TRansportation ANalysis and SIMulation System (TRANSIMS). Components include a run time environment to execute TRANSIMS in parallel, as well as a full featured GUI.
    Downloads: 0 This Week
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  • 25
    NYCOpenData-Profiling-Analysis

    NYCOpenData-Profiling-Analysis

    Open Data Profiling, Quality and Analysis on NYC OpenData dataset

    Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). For each semantic type T identified, enumerate all the values encountered for T in all...
    Downloads: 0 This Week
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