dlt Hub
UnclaimedLightweight Python code to move data from various sources into well-structured, live datasets.
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TL;DR - dlt Hub
- Open-source Python library for data extraction and loading (EL).
- Automates data engineering tasks like schema inference and incremental loading.
- Integrates with LLMs for accelerated pipeline and report creation.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Open-source and production-ready
- Python-native, no external backends or containers required
- Automates complex data engineering tasks
- Highly customizable with verified and custom sources
- Supports LLM-assisted pipeline creation
Cons
- dltHub (the extended platform) is still under development with a Q1 2026 release for individual developers
- May require Python knowledge for advanced customization
Key Features
Loads data from APIs, files, and databasesSchema inference and evolutionData normalizationIncremental loadingDeduplication and SCD2 materializations60+ pre-built verified data sources (e.g., SQL databases, Google Sheets, Salesforce)Numerous destinations (e.g., Snowflake, Databricks, local databases, data lakes)Custom source building with REST API toolkit or from scratch in Python
Pricing Plans
Open Source
Free
- Loads data from various data sources into well-structured, live datasets
- No need for backends or containers
- Integrates with AI code editors and Jupyter Notebook
- Loads data from any source that produces Python data structures (APIs, files, databases)
About dlt Hub
By Toolradar Team·
dlt (data load tool) is an open-source Python library designed for data platform teams to extract and load data efficiently. It simplifies the process of moving data from diverse and often messy sources, such as APIs, files, and databases, into structured, live datasets. Unlike other solutions, dlt operates purely as a Python library, eliminating the need for external backends or containers, and integrates seamlessly with existing Python environments like AI code editors or Jupyter Notebooks. It automates tedious data engineering tasks including schema inference, data normalization, and incremental loading, making it suitable for both micro and large infrastructures.
dltHub is the broader vision extending beyond the core dlt library, aiming to transform complex data workflows into something accessible for any Python developer. It plans to encompass ELT, storage, and runtime capabilities, with a focus on governance, security, and compliance, particularly for highly regulated industries. The dltHub workflow also integrates with Large Language Models (LLMs) to assist developers in building and maintaining dlt pipelines and reports, accelerating the creation of data sources. The first release of dltHub for individual developers is anticipated in Q1 2026, with a goal to serve individual developers, small teams, and enterprises.
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dlt Hub FAQ
What is dlt Hub?
dltHub is the overarching platform vision that includes the dlt (data load tool) open-source Python library. The dlt library is for extracting and loading data into well-structured datasets. dltHub aims to extend this into a comprehensive ELT, storage, and runtime platform, integrating with LLMs for pipeline creation and focusing on governance and security for regulated industries. The first release for individual developers is planned for Q1 2026.
How much does dlt Hub cost?
The core dlt (data load tool) library is open-source and free to use. Information regarding the pricing model for the future dltHub platform (expected Q1 2026) is not yet available, but it aims to serve individual developers, small teams, and enterprises.
Is dlt Hub free?
Yes, the dlt (data load tool) library is open-source and free. The future dltHub platform's pricing model is not yet detailed, but the initial offering is for individual developers.
Who is dlt Hub for?
dlt Hub is primarily for Python-first data platform teams, individual developers, and data engineers who need to move data efficiently and create structured datasets. It's also designed for organizations in highly regulated industries like finance and healthcare that require strong governance, security, and compliance in their data infrastructure. The future dltHub platform aims to cater to individual developers, small teams, and enterprises.
Source: dlthub.com