Data Integration Tools for Mac

View 58 business solutions

Browse free open source Data Integration tools and projects for Mac below. Use the toggles on the left to filter open source Data Integration tools by OS, license, language, programming language, and project status.

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  • 1
    Pentaho

    Pentaho

    Pentaho offers comprehensive data integration and analytics platform.

    Pentaho couples data integration with business analytics in a modern platform to easily access, visualize and explore data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise, in the cloud, or on-the-go (mobile). Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool. The Pentaho Enterprise Edition Free Trial can be obtained from https://pentaho.com/download/
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    Downloads: 1,577 This Week
    Last Update:
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  • 2
    Pentaho Data Integration

    Pentaho Data Integration

    Pentaho Data Integration ( ETL ) a.k.a Kettle

    Pentaho Data Integration uses the Maven framework. Project distribution archive is produced under the assemblies module. Core implementation, database dialog, user interface, PDI engine, PDI engine extensions, PDI core plugins, and integration tests. Maven, version 3+, and Java JDK 1.8 are requisites. Use of the Pentaho checkstyle format (via mvn checkstyle:check and reviewing the report) and developing working Unit Tests helps to ensure that pull requests for bugs and improvements are processed quickly. In addition to the unit tests, there are integration tests that test cross-module operation.
    Downloads: 94 This Week
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  • 3
    Searchkick

    Searchkick

    Intelligent search made easy

    Searchkick brings powerful, production-ready search to Rails by mapping Active Record models into Elasticsearch with sensible defaults and easy customization. It supports language analyzers, stemming, synonyms, misspelling tolerance, and highlighting so search results feel natural to end users. Indexing is model-centric: you declare what fields to index, add computed fields, and trigger reindexing via callbacks or background jobs, with options for zero-downtime rolling reindexes. On the query side, a simple API covers relevance tuning, boosting, filtering, faceting/aggregations, and pagination, while still allowing direct access to advanced Elasticsearch features when needed. It integrates with Rails scopes and authorization patterns, making it straightforward to return only records the user can see. By wrapping complex search infrastructure in a clean Ruby interface, Searchkick lets teams deliver fast, relevant search experiences without becoming experts.
    Downloads: 7 This Week
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  • 4
    Airbyte

    Airbyte

    Data integration platform for ELT pipelines from APIs, databases

    We believe that only an open-source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination. Airbyte already provides the largest catalog of 300+ connectors for APIs, databases, data warehouses, and data lakes. Moving critical data with Airbyte is as easy and reliable as flipping on a switch. Our teams process more than 300 billion rows each month for ambitious businesses of all sizes. Enable your data engineering teams to focus on projects that are more valuable to your business. Building and maintaining custom connectors have become 5x easier with Airbyte. With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.
    Downloads: 6 This Week
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  • 5
    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, multi-tool engine that scales technically and organizationally. Dagster as a unified control plane: The ‘single plane of glass’ data teams love to use. Rein in the chaos and maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities.
    Downloads: 3 This Week
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  • 6
    PANDORA

    PANDORA

    Revolutionizing Biomedical Research with Advanced Machine Learning

    PANDORA is a machine learning (ML) tool that can be used to integrate various data types, including clinical, transcriptome and microbiome data and find connections in large datasets. PANDORA can be easily installed using Docker, a pre-built version of the software can be pulled from DockerHub. In order to run a test instance of PANDORA, users will first need to prepare their local environment by downloading, installing, and configuring Docker. genular is a community behind SIMON an open-source Machine Learning KnowledgeDiscovery software, built by a vibrant community of people just like you! Join us and make SIMON even cooler! Exploratory analysis of machine learning results with the help of many different visualization techniques will give you instant insights into models and data.
    Downloads: 2 This Week
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  • 7
    nango

    nango

    A single API for all your integrations.

    Nango is a single API to interact with all other external APIs. It should be the only API you need to integrate to your app. Nango is an open-source solution for integrating third-party APIs with applications, simplifying API authentication, data syncing, and management.
    Downloads: 2 This Week
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  • 8
    CellTypist

    CellTypist

    A tool for semi-automatic cell type classification, harmonization

    CellTypist is an automated tool for cell type classification, harmonization, and integration. Classification, transfer cell type labels from the reference to query dataset. Harmonization, match and harmonize cell types defined by independent datasets. integration, integrate cell and cell types with supervision from harmonization. CellTypist recapitulates cell type structure and biology of independent datasets. Regularised linear models with Stochastic Gradient Descent provide a fast and accurate prediction. Scalable and flexible. Python-based implementation is easy to integrate into existing pipelines. A community-driven encyclopedia for cell types.
    Downloads: 1 This Week
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  • 9
    Gradle Docker Compose Plugin

    Gradle Docker Compose Plugin

    Simplifies usage of Docker Compose for integration testing

    The Gradle Docker Compose Plugin by Avast integrates Docker Compose lifecycle management into Gradle builds. It allows developers to define and manage Docker containers required for integration testing or local development directly from their Gradle build scripts. This plugin automates the startup and shutdown of services, supports container health checks, and enables tight integration between application code and containerized services, enhancing reproducibility and automation in development pipelines.
    Downloads: 1 This Week
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  • 10
    KubeRay

    KubeRay

    A toolkit to run Ray applications on Kubernetes

    KubeRay is a powerful, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes. It offers several key components. KubeRay core: This is the official, fully-maintained component of KubeRay that provides three custom resource definitions, RayCluster, RayJob, and RayService. These resources are designed to help you run a wide range of workloads with ease.
    Downloads: 1 This Week
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  • 11
    nichenetr

    nichenetr

    NicheNet: predict active ligand-target links between interacting cells

    nichenetr: the R implementation of the NicheNet method. The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest. This model of prior information on potential ligand-target links can then be used to infer active ligand-target links between interacting cells. NicheNet prioritizes ligands according to their activity (i.e., how well they predict observed changes in gene expression in the receiver cell) and looks for affected targets with high potential to be regulated by these prioritized ligands.
    Downloads: 1 This Week
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  • 12
    KETL(tm) is a production ready ETL platform. The engine is built upon an open, multi-threaded, XML-based architecture. KETL's is designed to assist in the development and deployment of data integration efforts which require ETL and scheduling
    Downloads: 13 This Week
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  • 13
    CloverDX

    CloverDX

    Design, automate, operate and publish data pipelines at scale

    Please, visit www.cloverdx.com for latest product versions. Data integration platform; can be used to transform/map/manipulate data in batch and near-realtime modes. Suppors various input/output formats (CSV,FIXLEN,Excel,XML,JSON,Parquet, Avro,EDI/X12,HL7,COBOL,LOTUS, etc.). Connects to RDBMS/JMS/Kafka/SOAP/Rest/LDAP/S3/HTTP/FTP/ZIP/TAR. CloverDX offers 100+ specialized components which can be further extended by creation of "macros" - subgraphs - and libraries, shareable with 3rd parties. Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript. Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints. The platform allows to easily scale your data job across multiple cores or nodes/machines. Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace
    Downloads: 3 This Week
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  • 14
    Daffodil Replicator is a powerful Open Source Java tool for data integration, data migration and data protection in real time. It allows bi-directional data replication and synchronization between homogeneous / heterogeneous databases including Oracle, M
    Downloads: 2 This Week
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  • 15
    PaloKettlePlugin is for Pentaho Data Integration aka Kettle. It's a Cell Input und Output Step for Palo Molap. The first code was developed by mybiq/3A-Strategy, the PDI-3 version has been developed by Stratebi. Now by 3A-Strategy and Litebi for PDI
    Downloads: 2 This Week
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  • 16

    COMA Community Edition

    Schema Matching Solution for Data Integration

    COMA CE is the community edition of the well-established COMA project developed at the University of Leipzig. It comprises the parsers, matcher library, matching framework and a sample GUI for tests and evaluations. COMA was initiated at the database chair of the University of Leipzig in 2002 and got much positive feedback ever since. It excels due to numerous matching strategies, which can be combined to large matching workflows, and which enable reliable match results between different kind of schemas.
    Downloads: 1 This Week
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  • 17
    optPBN

    optPBN

    An optimization toolbox for probabilistic Boolean networks

    We introduce optPBN, a Matlab-based toolbox for the optimization of probabilistic Boolean networks (PBN) which operates under the framework of the BN/PBN toolbox from Shmulevich et al. optPBN offers an easy generation of probabilistic Boolean networks from Boolean rule-based modeling and allows for flexible measurement data integration from multiple experiments and a subsequent integrated optimization problem generation which then can be solved with different optimizers. Thereby optPBN allows for the identification of Boolean functions in the model from a given set of candidate Boolean rules which can be applied for network inference study. In addition, it also permits the determination of selection probabilities of Boolean rules in PBNs which can be further used to determine the influence of parent nodes in biochemical interactions.
    Downloads: 1 This Week
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  • 18
    Templates for integrating the data structures of Compiere, Openbravo or ADempiere for all kind of Pentaho Data Integration processes. Later on we plan to migrate these to Talend too.
    Downloads: 0 This Week
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  • 19
    Arch Data Integration Framework
    Downloads: 0 This Week
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  • 20

    ARSystem plugins for Pentaho Kettle

    AR-System step and db plugins for Pentaho Data Integration Kettle V5

    Allows you to write per API to AR-System Server (BMC Remedy Action Request System). Includes two step output, one step input and one database plugin. The step plugins need the database plugin.
    Downloads: 0 This Week
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  • 21

    AWS data tools

    AWS tools for data integration and more

    Here I list some data tools I created for Amazon AWS S3 and Redshift
    Downloads: 0 This Week
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  • 22
    Alova.js

    Alova.js

    Workflow-Streamlined next-generation request tools

    Extremely streamline API integration workflow. Quickly find APIs in the editor, and enjoy full type hints even in js projects with the API code automatically generated by Alova's extension. Request in various complex scenes by one line of code. Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. Global interceptor that supports silent token refresh, as well as providing unified management of token-based login, logout, token assignment, and token refresh.
    Downloads: 0 This Week
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  • 23
    Apache DevLake

    Apache DevLake

    Apache DevLake is an open-source dev data platform

    Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to extract insights for engineering excellence, developer experience, and community growth. Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask Apache DevLake many questions regarding your development process. Just connect and query. Your Dev Data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC). From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation.
    Downloads: 0 This Week
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  • 24
    Apache Hudi

    Apache Hudi

    Upserts, Deletes And Incremental Processing on Big Data

    Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. Hudi provides efficient upserts, by mapping a given hoodie key (record key + partition path) consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records.
    Downloads: 0 This Week
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  • 25

    BD integration

    Heterogeneous BD integration

    The increasing need to obtain a generalized view of the information resources, presented in various systems has led to the data integration mechanisms formation, which focus on efficient access organization to external, heterogeneous data sources through a single interface. The project includes the mass integration platform which allows to create global infrastructure of tens and hundreds of heterogeneous databases based on service-oriented approach.
    Downloads: 0 This Week
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