Data Integration Tools for Mac

View 58 business solutions
  • Find out just how much your login box can do for your customer | Auth0 Icon
    Find out just how much your login box can do for your customer | Auth0

    With over 53 social login options, you can fast-track the signup and login experience for users.

    From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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  • Cortex: Boost Developer Coding Skills Icon
    Cortex: Boost Developer Coding Skills

    Cortex makes coding easier and faster for developers. See how our portal connects tools and cuts busywork.

    Cortex is a simple portal that helps developers work smarter by linking all your tools, setting clear rules, and slashing repetitive tasks. It speeds up onboarding, updates old code, and fixes issues fast. Over 100 big companies use it to save time and get better results.
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  • 1
    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.
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  • 2
    ChunJun

    ChunJun

    A data integration framework

    ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL syntax. Supports a variety of heterogeneous data sources, and supports synchronization and calculation of more than 20 data sources such as MySQL, Oracle, SQLServer, Hive, Kudu, etc. Easy to expand, highly flexible, newly expanded data source plugins can integrate with existing data source plugins instantly, plugin developers do not need to care about the code logic of other plugins.
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  • 3
    Civi Data Integration

    Civi Data Integration

    This is a Pentaho Data Integration plugin for CiviCRM.

    This is a Pentaho Data Integration plugin for CiviCRM. It allows you to take advantage of the power of Pentaho Data Integration tools and use it with your CiviCRM instance.
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  • 4
    Common Core Ontologies

    Common Core Ontologies

    The Common Core Ontology Repository

    The Common Core Ontologies (CCO) comprise twelve ontologies that are designed to represent and integrate taxonomies of generic classes and relations across all domains of interest. CCO is a mid-level extension of Basic Formal Ontology (BFO), an upper-level ontology framework widely used to structure and integrate ontologies in the biomedical domain (Arp, et al., 2015). BFO aims to represent the most generic categories of entity and the most generic types of relations that hold between them, by defining a small number of classes and relations. CCO then extends from BFO in the sense that every class in CCO is asserted to be a subclass of some class in BFO, and that CCO adopts the generic relations defined in BFO (e.g., has_part) (Smith and Grenon, 2004). Accordingly, CCO classes and relations are heavily constrained by the BFO framework, from which it inherits much of its basic semantic relationships.
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  • Composable, Open Source Payments Platform Icon
    Composable, Open Source Payments Platform

    Build or enhance your payments stack, while maintaining control with an open-source, full-stack and modular infrastructure.

    Juspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.
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  • 5
    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: 0 This Week
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  • 6
    EasyDataQuality for Pentaho Kettle

    EasyDataQuality for Pentaho Kettle

    EasyDataQuality for Pentaho Data Integration in Kettle

    EasyDQ plugins for Contact cleansing in Pentaho Data Integration in Kettle.
    Downloads: 0 This Week
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  • 7
    ExAws

    ExAws

    A flexible, easy to use set of clients AWS APIs for Elixir

    ExAws is a comprehensive Elixir client library for interfacing with AWS services. It provides low-level request builders for nearly all AWS APIs—like S3, EC2, Lambda, DynamoDB, SQS, SES, Route 53, and more—while supporting streaming, request configuration overrides, telemetry, flexible HTTP clients, and codecs. Its modular architecture enables importing only the services you need with separate packages (e.g., ex_aws_s3, ex_aws_ec2).
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  • 8
    Fluxion
    The Fluxion framework is a prototype data integration system using Semantic Web technologies.
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  • 9
    Open source Application and Data Integration Platform that allows developers and end-users to integrate and transform information using a web-based drag-and-drop interface that doesn't require coding or programming skills.
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  • Rev Your Digital Product Delivery Engine Icon
    Rev Your Digital Product Delivery Engine

    Enterprise-grade platform designed to connect strategy, planning, and execution across digital product development and software delivery

    Planview links your technology vision directly to teams' daily work, providing complete visibility and control over your digital product delivery ecosystem.
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  • 10
    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: 0 This Week
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  • 11
    Grinn

    Grinn

    graph database and R package for omic data integration

    http://kwanjeeraw.github.io/grinn/
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  • 12
    The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.
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  • 13
    Harmony Data Integration

    Harmony Data Integration

    Fast, sensitive and accurate integration of single-cell data

    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. Harmony has been tested on R versions =4. Please consult the DESCRIPTION file for more details on required R packages. Harmony has been tested on Linux, OS X, and Windows platforms.
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  • 14
    Hetionet

    Hetionet

    Hetionet: an integrative network of disease

    Hetionet is a hetnet — network with multiple node and edge (relationship) types — which encodes biology. The hetnet was designed for Project Rephetio, which aims to systematically identify why drugs work and predict new therapies for drugs. The JSON and Neo4j formats contain node and edge properties, which are absent in the TSV and matrix formats, including licensing information. Therefore the recommended formats are JSON and Neo4j. Our hetio package in Python reads the JSON format, but it is otherwise a simple yet new format. The Neo4j graph database has an established and thriving ecosystem. However, if you would like to access Hetionet without Neo4j, then we suggest the JSON format. The matrix format refers to HetMat archives, which store edge adjacency matrices on disk. Additional usage information is available at the corresponding download locations.
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  • 15
    INDUS is a porject for knowledge acquisition and data integration from heterogeneous distributed data, particularly from bio-informatics databases
    Downloads: 0 This Week
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  • 16
    This disease-centric project contributes data integration and analysis tools from the Institute for Systems Biology (ISB). We offer this project to the research community to further our efforts in disease prediction and prevention.
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  • 17
    An extension package to Pentaho Data Integration, providing plug-ins. Steps/job entries can be downloaded independently and each comes with source code in the .zip file. All are licensed as LGPL or GPL.
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  • 18
    The JasperSoft Business Intelligence Suite provides integrated reporting, analysis, and data integration to make faster, better decisions. * Integrated or stand-alone * Analytic & operational data integration * Embeddable with ERP or CRM
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  • 19
    Jitsu

    Jitsu

    Jitsu is an open-source Segment alternative

    Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. Just write JavaScript code right in the UI to do anything with incoming data. And yes, the code editor supports code completion, debugging and many more. It feels like a full-featured IDE!
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  • 20
    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.
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  • 21

    LD-FusionTool

    Data Fusion and Conflict Resolution tool for Linked Data

    LD-FusionTool covers the Data Fusion step in the integration process for RDF, where data are merged to produce consistent and clean representations of objects, and conflicts which emerged during data integration need to be resolved.
    Downloads: 0 This Week
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  • 22
    Mara Pipelines

    Mara Pipelines

    A lightweight opinionated ETL framework, halfway between plain scripts

    This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and output logging. Cost based priority queues: nodes with higher cost (based on recorded run times) are run first.
    Downloads: 0 This Week
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  • 23
    N-Browse is a client-server package for interactive visualization of network data with heterogeneous types of links, intended for ease of use and designed using a generic database schema for data integration and visualization.
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  • 24
    Nest Manager

    Nest Manager

    NST Manager (SmartThings)

    Nest Manager is a community SmartThings solution that integrates Nest devices—thermostats, Protects, and cameras—into the SmartThings ecosystem via a comprehensive SmartApp and device handlers. It offers a unified dashboard, rich device tiles, and automation hooks so users can monitor and control temperature, modes, and alerts alongside other smart home devices. The project emphasizes usability with guided setup flows, status summaries, and in-app diagnostics to help troubleshoot connectivity or permission issues. It exposes detailed attributes and commands, enabling powerful rules and scenes that coordinate Nest with sensors, presence, and schedules in SmartThings. Historical and environmental data can be surfaced to support energy-aware automations and notifications. For advanced users, it provides granular preferences to tune polling, event verbosity, and safety behaviors, turning SmartThings into a capable hub for Nest-centric homes.
    Downloads: 0 This Week
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  • 25
    ODI \ OWB ETL \ ELT Datawarehousing Data Integration
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