Dev tools · alternatives · 2026
24 alternatives to Qualdo-MQX
Monitoring ML-models and data quality performance metrics
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Qualdo-MQX launched in 2021; newer entries below may have overtaken it.
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Avo Inspector▲172Find and fix your data quality issues in minutes, not months
2024 · its alternatives →
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Querri▲129Making data ridiculously easy for teams without data pros
2025 · querri.com · its alternatives →
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Querri 2.0 ▲197Natural‑language data analysis with instant visuals
Nov 2025 · querri.com · its alternatives →
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Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…
2023 · github.com · its alternatives →
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Seeknal▲57Data & AI/ML CLI for pipelines and NL queries
Apr 2026 · seeknal.exe.xyz · its alternatives →
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Hello HackerNews, I am Paul, and I would like to get some feedback on the tool we are releasing as beta today. 3LC is an ML tool that gives detailed insights, real-time data-centric iterative workflows for training/finetuning, and data quality improvements for your Machine Learning datasets and models. 3LC serves as a visualizer, editor, and debugger, focusing on how models learn from the training data. Key Features of 3LC: • Detailed Data Analysis: 3LC enables users to dive into model performance beyond typical labeling errors. It offers the capability to analyze intricate false…
2024 · pypi.org · its alternatives →
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Jan 2026 · github.com · its alternatives →
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Hi HN! We’re Clemens and Felix from Cito - thrilled to show you what we’ve built to help data engineers stay on top of data quality issues. Think Datadog meets Incident.io. Tests in dbt are great when checking whether specific expectations are true, but don’t work well for use cases where data patterns may change over time. When relying on testing alone, data teams regularly face situations where business stakeholders identify data issues in dashboards first, eroding trust. In such situations, understanding the implications of an issue and debugging can be a very manual and time-consuming…
2022 · citodata.com · its alternatives →
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Qala▲4Real-time data visibility, control, and compliance
Feb 2026 · letsqala.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →