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Alternatives to Great Expectations

2 editor-selected alternatives · Great Expectations overview →

source: tools.alternatives · stored order · active records only; review scores are annotations and never change membership or order

A directional evidence panel appears only when the substitute rationale, trade-offs, sources, and verification date have been recorded. Older selections without that panel remain visible but are unclassified under the new evidence contract.

dbt logo
1

dbt

open sourcefreemiumexplicit relation

dbt (data build tool) is an open-source SQL transformation framework with 10K+ GitHub stars that lets analytics engineers transform data in their warehouse using select statements. Brings software engineering practices to data — version control, testing, documentation, and CI/CD for SQL. Supports Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, and more. Features Jinja templating, incremental models, snapshots, and a package hub of reusable transformations.

Open-source data transformation framework (Apache-2.0) with managed SaaS cloud tiers. dbt Core is 100% free and open-source for self-hosted CLI and containerized execution with zero licensing fees. dbt Cloud Developer plan is free ($0/mo) for 1 seat with web IDE and job scheduling. dbt Cloud Starter plan costs $100/developer/mo (up to 5-8 seats) with automated CI triggers, Semantic Layer integration, and 15K models/mo. dbt Cloud Enterprise offers custom annual pricing with dbt Mesh multi-project governance, Virtual Private dbt VPC deployment, SAML SSO, RBAC, SOC 2 Type II, and 99.9% uptime SLA.
Dagster logo
2

Dagster

84/100open sourcefreemiumexplicit relation

Dagster is an open-source data orchestration platform with 15K+ GitHub stars combining pipeline scheduling with software-defined assets, built-in data quality checks, and a modern developer experience. Defines data assets declaratively rather than imperatively. Features asset lineage visualization, partitioned processing, sensor-based triggers, comprehensive testing, and integrated observability. A modern alternative to Airflow for teams wanting asset-centric orchestration.

100% free open-source for self-hosting under Apache-2.0 ($0 software license for unlimited orchestration, Software-Defined Assets, and Dagit UI). Fully managed Dagster+ cloud platform offers Solo/Starter starting at $10/month base fee + usage-based credits ($0.015-$0.040/credit), Pro at $100/month base with Hybrid agent deployment, SAML 2.0 SSO, RBAC, and ephemeral branch deployments, and custom Enterprise plans with dedicated SLA.Review →

Open-source Great Expectations alternatives

dbt, Dagster — see all open-source developer tools.

Free Great Expectations alternatives

dbt, Dagster offer a free plan or free tier.

More AI Data Tools tools

same category, not editor-selected alternatives — see how Great Expectations compares →

MCP InspectorMCP Inspector is the official interactive developer tool from the Model Context Protocol team for testing, debugging, and validating MCP servers. It provides a visual interface to inspect available tools, test transport configurations, export configs for different clients, and verify protocol compliance during MCP server development.RayRay is an open-source distributed computing framework built for scaling AI and Python applications from a laptop to thousands of GPUs. It provides libraries for distributed training, hyperparameter tuning, model serving, reinforcement learning, and data processing under a single unified API. Ray's public site highlights OpenAI and other enterprise users. Maintained by Anyscale with Apache-2.0 open-source licensing.LLaMA-FactoryLLaMA-Factory is an open-source toolkit providing a unified interface for fine-tuning over 100 LLMs and vision-language models. It supports SFT, RLHF with PPO and DPO, LoRA and QLoRA for memory-efficient training, and continuous pre-training. The LLaMA Board web UI enables no-code configuration, while CLI and YAML workflows serve advanced users. Integrates with Hugging Face, ModelScope, vLLM, and SGLang for model deployment.PlaywrightCross-browser E2E testing framework by Microsoft supporting Chromium, Firefox, and WebKit with one API. Features auto-waiting, tracing with timeline/screenshots/DOM snapshots, codegen for recording tests, and parallel execution. Component testing for React, Vue, Svelte. Built-in API testing, network mocking, and mobile emulation. Known for reliability and speed vs Selenium/Cypress. 70K+ GitHub stars, rapidly becoming the E2E standard.TavilyTavily is an AI-native search API that provides real-time web search, content extraction, and crawling capabilities specifically designed for LLM applications and autonomous agents. It returns structured, citation-ready results optimized for RAG workflows with built-in safety features including prompt injection protection and PII leak prevention. Acquired by Nebius in 2026, Tavily integrates with LangChain, LlamaIndex, and major agent frameworks, serving over one million developers worldwide.DeepEvalDeepEval is an Apache-2.0 Python framework for evaluating LLM apps, RAG systems, agents, MCP workflows, and safety behavior with repeatable test cases. It works locally and in CI/CD, then connects to Confident AI for hosted reports, observability, red teaming, and governance when teams need shared evidence instead of ad-hoc prompt reviews and manual QA.FirecrawlFirecrawl is a Y Combinator-backed API that crawls websites and converts them into clean, LLM-ready Markdown or structured JSON. Handles JavaScript rendering, pagination, sitemaps, and anti-bot measures automatically. Designed for RAG pipelines, AI agents, and data extraction workflows. Features batch crawling, scheduled scraping, webhook notifications, and custom extraction schemas. Processes content for direct ingestion into vector databases and LLM context windows.UnslothUnsloth is an open-source framework for fine-tuning large language models up to 2x faster while using 70% less VRAM. Built with custom Triton kernels, it supports 500+ model architectures including Llama 4, Qwen 3, and DeepSeek on consumer NVIDIA GPUs. Unsloth Studio adds a no-code web UI for dataset creation, training observability, model comparison, and GGUF export for Ollama and vLLM deployment.reviewdogreviewdog is an open-source automated code review tool that integrates any linter or static analysis tool with GitHub, GitLab, Bitbucket, and Gitea pull requests. Parses output in errorformat, Checkstyle XML, SARIF, and JSON formats to post inline review comments on changed lines only. Works with GitHub Actions, Travis CI, CircleCI, GitLab CI, and Jenkins. Supports 40+ languages through universal linter adapter architecture.

FAQ

Which Great Expectations alternative is listed first?

dbt is first in the editor-selected list of 2 Great Expectations alternatives. The stored order is editorial; review scores do not determine membership or position.

Are there open-source Great Expectations alternatives?

Yes — dbt, Dagster are open source.

Are there free Great Expectations alternatives?

Yes — dbt, Dagster offer a free plan or free tier.