Showing 427 open source projects for "apt-get"

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  • 1
    CloudQuery

    CloudQuery

    The open-source cloud asset inventory powered by SQL

    ... with your current visualization, monitoring, and alerting such as Grafana. CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. Build a cloud-asset inventory across any of our supported official or community providers.
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  • 2
    Great Expectations

    Great Expectations

    Always know what to expect from your data

    ... are a great start, but it takes more to get to production-ready data validation. Where are Expectations stored? How do they get updated? How do you securely connect to production data systems? How do you notify team members and triage when data validation fails? Great Expectations supports all of these use cases out of the box. Instead of building these components for yourself over weeks or months, you will be able to add production-ready validation to your pipeline in a day.
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  • 3
    Online Boutique

    Online Boutique

    Sample cloud-first application with 10 microservices

    Online Boutique is a cloud-first microservices demo application. The application is a web-based e-commerce app where users can browse items, add them to the cart, and purchase them. Google uses this application to demonstrate the use of technologies like Kubernetes, GKE, Istio, Stackdriver, and gRPC. This application works on any Kubernetes cluster, like Google Kubernetes Engine (GKE). It’s easy to deploy with little to no configuration.
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  • 4
    MIRT.jl

    MIRT.jl

    MIRT: Michigan Image Reconstruction Toolbox (Julia version)

    MIRT.jl is a collection of Julia functions for performing image reconstruction and solving related inverse problems. It is very much still under construction, although there are already enough tools to solve useful problems like compressed sensing MRI reconstruction. Trying the demos is a good way to get started. The documentation is even more still under construction.
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  • 5
    JuliaWorkshop

    JuliaWorkshop

    Intensive Julia workshop that takes you from zero to hero

    This is an intensive workshop for the Julia language, composed out of three 2-hour segments. It targets people already familiar with programming, so that the established basics such as for-loops are skipped through quickly and efficiently. Nevertheless, it assumes only rudimentary programming familiarity and does explain concepts that go beyond the basics. The goal of the workshop is to take you from zero to hero (regarding Julia): even if you know nothing about Julia, by the end you should...
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  • 6
    The PyPlot module for Julia

    The PyPlot module for Julia

    Plotting for Julia based on matplotlib.pyplot

    This module provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy). (See also PythonPlot.jl for a version of PyPlot.jl using the alternative PythonCall.jl package.) This package takes advantage of Julia's multimedia I/O API to display plots in any Julia graphical backend,...
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  • 7
    re_data

    re_data

    re_data - fix data issues before your users & CEO would discover them

    re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up Slack notifications to always know when a new report is produced or an existing one got updated.
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  • 8
    Querybook

    Querybook

    Big Data Querying UI, combining collocated table metadata

    Querybook is Pinterest’s open-source big data IDE via a notebook interface. Querybook’s core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible. Organize rich text, queries, and charts into a notebook to easily document your analyses. Work collaboratively with others in a DataDoc and get real-time updates. The Query Editor is aware of your tables and their columns, as such it provides autocompletion, syntax highlighting, and the ability...
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  • 9
    errsole.js

    errsole.js

    Collect, Store, and Visualize Logs with a Single Module

    Errsole is an open-source logger for Node.js. It has a built-in web dashboard to view, filter, and search your app logs.
    Downloads: 0 This Week
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  • 10
    Lago

    Lago

    Open Source Metering and Usage Based Billing API

    ... with coupons that customers can redeem to get a discount. Lago allows you to create one-time charges that are invoiced on the fly. Depending on the configuration of your plans, Lago automatically calculates what each customer owes you and generates invoices. Unlock recurring revenue opportunities for pay-as-you-go pricing models with Lago’s real-time prepaid credit features.
    Downloads: 0 This Week
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  • 11
    Pkg Julia

    Pkg Julia

    Package manager for the Julia programming language

    ... haven’t used in a while only to find that you can’t get anything to work because you’ve updated or uninstalled some of the packages your project was using, you’ll understand the motivation for this approach. In Pkg, since each project maintains its own independent set of package versions, you’ll never have this problem again. Moreover, if you check out a project on a new system, you can simply materialize the environment described by its manifest file and immediately be up and running.
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  • 12
    Encord Active

    Encord Active

    The toolkit to test, validate, and evaluate your models and surface

    .... Get a high level overview of your data distribution, explore it by customizable quality metrics, and discover any anomalies. Use powerful similarity search to find more examples of edge-cases or outliers.
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  • 13
    Feathr

    Feathr

    A scalable, unified data and AI engineering platform for enterprise

    Feathr is a data and AI engineering platform that is widely used in production at LinkedIn for many years and was open sourced in 2022. It is currently a project under LF AI & Data Foundation. Define data and feature transformations based on raw data sources (batch and streaming) using Pythonic APIs. Register transformations by names and get transformed data(features) for various use cases including AI modeling, compliance, go-to-market and more. Share transformations and data(features) across...
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  • 14
    Dagster

    Dagster

    An orchestration platform for the development, production

    Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust multi-tenant...
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  • 15
    Automated Tool for Optimized Modelling

    Automated Tool for Optimized Modelling

    Automated Tool for Optimized Modelling

    During the exploration phase of a machine learning project, a data scientist tries to find the optimal pipeline for his specific use case. This usually involves applying standard data cleaning steps, creating or selecting useful features, trying out different models, etc. Testing multiple pipelines requires many lines of code, and writing it all in the same notebook often makes it long and cluttered. On the other hand, using multiple notebooks makes it harder to compare the results and to...
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  • 16
    PipeRider

    PipeRider

    Code review for data in dbt

    PipeRider automatically compares your data to highlight the difference in impacted downstream dbt models so you can merge your Pull Requests with confidence. PipeRider can profile your dbt models and obtain information such as basic data composition, quantiles, histograms, text length, top categories, and more. PipeRider can integrate with dbt metrics and present the time-series data of metrics in the report. PipeRider generates a static HTML report each time it runs, which can be viewed...
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  • 17
    Elementary

    Elementary

    Open-source data observability for analytics engineers

    ... are configured and executed like native tests in dbt your project. Uploading and modeling of dbt artifacts, run and test results to tables as part of your runs. Get informative notifications on data issues, schema changes, models and tests failures. Inspect upstream and downstream dependencies to understand impact and root cause of data issues.
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  • 18
    if-me.org

    if-me.org

    Free, open source mental health communication web app

    if-me.org is a community for mental health experiences that encourages people to share their personal stories with trusted allies. Trusted allies are the people we interact with on a daily basis, including friends, family members, co-workers, teachers, and mental health workers. Dealing with mental health is what makes us human. But for a lot of us, it's a struggle to be open about it. Not everyone is a counselor or therapist. The people who we interact with every day shape our emotions and...
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  • 19
    Diffgram

    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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  • 20
    AutoGluon

    AutoGluon

    AutoGluon: AutoML for Image, Text, and Tabular Data

    AutoGluon enables easy-to-use and easy-to-extend AutoML with a focus on automated stack ensembling, deep learning, and real-world applications spanning image, text, and tabular data. Intended for both ML beginners and experts, AutoGluon enables you to quickly prototype deep learning and classical ML solutions for your raw data with a few lines of code. Automatically utilize state-of-the-art techniques (where appropriate) without expert knowledge. Leverage automatic hyperparameter tuning,...
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  • 21
    StarRocks

    StarRocks

    StarRocks is a next-gen sub-second MPP database for full analytics

    StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics...
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  • 22
    Go Recipes

    Go Recipes

    Collection of handy tools for Go projects

    Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey...
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  • 23
    Observable Plot

    Observable Plot

    A concise API for exploratory data visualization

    ... can configure much more, if needed, but Plot’s goal is to help you get a meaningful visualization quickly. Plot employs a layered grammar of graphics inspired by Vega-Lite, ggplot2, Wilkinson’s Grammar of Graphics, and Bertin’s Semiology of Graphics. Plot rejects a chart typology in favor of marks, scales, and transforms. Plot can be readily extended in JavaScript, whether to define a channel, a transform, or even a custom mark.
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  • 24
    ScottPlot

    ScottPlot

    Interactive Plotting Library for .NET

    ScottPlot is a free and open-source plotting library for .NET that makes it easy to interactively display large datasets. Line plots, bar charts, pie graphs, scatter plots, and more can be created with just a few lines of code. The ScottPlot Cookbook demonstrates how to create line plots, bar charts, pie graphs, scatter plots, and more with just a few lines of code. The ScottPlot Demo is a click-to-run application that demonstrates mouse-interactive versions of every cookbook recipe....
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  • 25
    deck.gl

    deck.gl

    WebGL2 powered visualization framework

    deck.gl is designed to simplify high-performance, WebGL-based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leveraging deck.gl's extensible architecture to address customer needs. deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at them with views: e.g. map, first-person, orthographic. deck.gl handles a number of challenges out...
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