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Showing 50 open source projects for "types"
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CellTypist
A tool for semi-automatic cell type classification, harmonization
...A community-driven encyclopedia for cell types. -
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ipychart
The power of Chart.js with Python
...Charts are fully interactive, you can hover it to display tooltips and select the information you want to see directly from the output cell of your notebook. All the types of charts present in Chart.js are exposed in ipychart. Even complex features such as mixed-types charts are available. Charts are highly customizable and all Chart.js options are available in ipychart. You have complete control over the appearance of your chart. -
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CleanVision
Automatically find issues in image datasets
...The quality of machine learning models hinges on the quality of the data used to train them, but it is hard to manually identify all of the low-quality data in a big dataset. CleanVision helps you automatically identify common types of data issues lurking in image datasets. This package currently detects issues in the raw images themselves, making it a useful tool for any computer vision task such as: classification, segmentation, object detection, pose estimation, keypoint detection, generative modeling, etc. -
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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
...It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor. -
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VisPy
Main repository for Vispy
...It leverages the power of modern Graphics Processing Units (GPUs) through OpenGL to render large datasets efficiently. Vispy supports a wide range of visualization types, including 2D plots, 3D visualizations, volume rendering, and more, making it suitable for scientific research, data analysis, and educational purposes. -
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Panda-Helper
Panda-Helper: Data profiling utility for Pandas DataFrames and Series
Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis. -
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harmonypy
Integrate multiple high-dimensional datasets with fuzzy k-means
Harmony is an algorithm for integrating multiple high-dimensional datasets. harmonypy is a port of the harmony R package by Ilya Korsunsky. Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. -
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ydata-profiling
Create HTML profiling reports from pandas DataFrame objects
ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json. -
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WYGIWYH
A simple but powerful self-hosted finance tracker
...Based on a philosophy that you should use what you earn each month for that month, it helps you understand where your funds go while keeping savings clearly separated so they aren’t accidentally dipped into for everyday expenses. The app supports multiple currencies, customizable transaction types, and built-in tools like dollar-cost averaging tracking to help you see investment activity alongside regular expenses, making it flexible for real world financial situations and global use. Its interface is designed to prioritize clarity and ease of entry, so you can quickly record and review spending without being overwhelmed by features you don’t need. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Sweetviz
Visualize and compare datasets, target values and associations
...Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness. -
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Gretel Synthetics
Synthetic data generators for structured and unstructured text
...Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports. Need to synthesize one or multiple data types? We have you covered. Even take advantage or multimodal data generation. Synthesize and transform multiple tables or entire relational databases. Mitigate GDPR and CCPA risks, and promote safe data access. Accelerate CI/CD workflows, performance testing, and staging. Augment AI training data, including minority classes and unique edge cases. ... -
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Diffgram
Training data (data labeling, annotation, workflow) for all data types
From ingesting data to exploring it, annotating it, and managing workflows. Diffgram is a single application that will improve your data labeling and bring all aspects of training data under a single roof. Diffgram is world’s first truly open source training data platform that focuses on giving its users an unlimited experience. This is aimed to reduce your data labeling bills and increase your Training Data Quality. Training Data is the art of supervising machines through data. This... -
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BoolHub
A fully functional personal information management software.
[Native application]: Developed with QT, pure native application, faster response; Cloud synchronization: Data is recorded in the cloud, and the data is no longer lost. Data synchronization is unlimited, everything is in your control; [Rich note types]: Support rich text, Markdown, code, tables, drawings, flowcharts and other note formats; [Manage your customers]: A customer relationship management system that supports team collaboration to grasp every lead and every customer; [Manage daily affairs]: Manage your affairs in an orderly manner through the feature-rich to-do list view; [Free without function limit]: There is no limit to the software functions, free to use, we are just to make a friend; [Different moods and different themes]: Notes and to-do lists, support a variety of exquisite themes, do whatever you want, change it if you want; [More application scenarios]: Memo view, timeline view, passwordbook view, statistics view to meet your different needs. -
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gravitino
Unified metadata lake for data & AI assets.
Apache Gravitino is a high-performance, geo-distributed, and federated metadata lake. It manages metadata directly in different sources, types, and regions, providing users with unified metadata access for data and AI assets. -
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AutoTrader
A Python-based development platform for automated trading systems
...A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has more than enough to build a profitable trading system. -
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Nagstamon is a Nagios status monitor which resides in systray or desktop (Linux, macOS, Windows) as floating statusbar to inform you in realtime about the status of your hosts and services. It allows to connect to multiple Nagios based monitors. Currently supported are Nagios, Icinga, Opsview, Op5 Ninja, Check_MK Multisite, Centreon and Thruk.
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
MCPower-GUI is a desktop application that provides a graphical interface for the MCPower Monte Carlo power analysis library. It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. ... -
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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File Sorter for Photographers
Organize files/images from a csv or xlsx file.
A user-friendly application to efficiently sort all types of files from a source folder into a destination folder based on a list of filenames provided in an Excel or CSV file. -
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Kotidien
Finances personnelles assistées par ordinateur.
Kotidien est une application dédiée à la gestion de votre argent. Comptes bancaires, cartes de paiements autonomes, et portefeuille d'espèces. Totalement libre et gratuite, elle vous permets de tenir vos comptes d'une main de fer. Écrite en Python 3 et compatible Linux (intégration parfaite sous KDE via l'utilisation de QT 5.12), Microsoft Windows 7 et supérieurs, Mac OS 10.11 et supérieurs. Kotidien vous donne un accès permanent et en temps réel sur vos différents soldes, permets aussi... -
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InstaGraph
Converts text input or URL into knowledge graph and displays
InstaGraph is a Flask application that converts text input or a URL into a visual knowledge graph. It uses an LLM to identify entities, relationships, labels, and node types from the provided content. The generated graph is displayed visually, helping users understand relationships that may be harder to see in plain text. The project includes Graphviz-based visualization logic and supports updating an existing graph through follow-up instructions. It is designed to be simple, colorful, and easy to use rather than a complex enterprise knowledge graph system. ... -
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Visdom
A tool for creating, organizing, and sharing data visualizations
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has... -
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The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
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BPYTOP
Linux/OSX/FreeBSD resource monitor
...Users can drill into a process list, sort by various metrics, view tree hierarchies, and quickly spot heavy resource consumers. The tool is highly configurable through both an in-app options menu and a detailed configuration file, allowing customization of themes, update frequency, graph types, temperature sensors, and which “boxes” (CPU, memory, network, processes) are shown. It supports temperature monitoring, per-core stats, I/O graphs, swap, battery information, and network auto-scaling, making it suitable for serious monitoring on laptops and servers alike. -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or...
