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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Packagist serves as the primary repository for Composer, consolidating public PHP packages that can be installed via Composer. To define your project dependencies, you need to create a composer.json file located in the root directory of your project. Serving as the default repository, Packagist allows users to discover packages while informing Composer where to retrieve the corresponding code. Composer is essential for managing dependencies for your project or libraries effectively. A crucial initial step is selecting a unique package name, which is vital because it cannot be altered later and must be distinct to avoid future conflicts. The naming convention for a package includes a vendor name and a project name, separated by a forward slash (/), with the vendor name designed to help avert naming disputes. Your composer.json file should be positioned at the top level of your package's version control system (VCS) repository, serving as a descriptor for both Packagist and Composer about your package's details. Additionally, any new versions of your package are automatically retrieved based on the tags you create within your VCS repository, ensuring that updates are seamlessly integrated. This setup streamlines the process of package management and fosters better organization within your development workflow.

Description

Singer outlines the interaction between data extraction scripts, known as "taps," and data loading scripts referred to as "targets," facilitating their use in various combinations for transferring data from multiple sources to diverse destinations. This enables seamless data movement across databases, web APIs, files, queues, and virtually any other medium imaginable. The simplicity of Singer taps and targets is evident as they are designed as straightforward applications that utilize pipes—eliminating the need for complex daemons or plugins. Communication between Singer applications occurs through JSON, which enhances compatibility and ease of implementation across different programming languages. Additionally, Singer incorporates JSON Schema to ensure robust data types and structured organization when necessary. Another advantage of Singer is its ability to easily maintain state during consecutive runs, thereby enabling efficient incremental data extraction. This makes Singer not only versatile but also a powerful tool in the realm of data integration.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

GitHub Yes 
GitLab Yes 
Amazon DynamoDB No 
AppsFlyer No 
CampaignManager No 
Fullstory No 
Lever No 
Looker No 
Mixpanel No 
Ortto No 
Outbrain No 
Pendo No 
PostgreSQL No 
Recurly No 
Salesforce No 
Salesforce Agentforce Marketing No 
Slack No 
Typeform No 
Zuora No 

Integrations

GitHub Yes 
GitLab Yes 
Amazon DynamoDB Yes 
AppsFlyer Yes 
CampaignManager Yes 
Fullstory Yes 
Lever Yes 
Looker Yes 
Mixpanel Yes 
Ortto Yes 
Outbrain Yes 
Pendo Yes 
PostgreSQL Yes 
Recurly Yes 
Salesforce Yes 
Salesforce Agentforce Marketing Yes 
Slack Yes 
Typeform Yes 
Zuora Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Packagist

Website

packagist.org

Vendor Details

Company Name

Singer

Website

www.singer.io

Product Features

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Alternatives

Alternatives