DQOps
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DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors.
The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors.
DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.
DQOps
DEV.toAs a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to seems to be a lot more popular than DQOps. While we know about 659 links to DEV.to, we've tracked only 1 mention of DQOps. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Open-source power: Check out DQOps, a free and Open-source data quality Platform. It's like having a community of data superheroes watching Your back. - Source: dev.to / over 1 year ago
And keep an exit. This is the argument I made about small models from a different angle: the same task that costs $14,000/month at frontier scale often costs approximately nothing on a 4B model running on your own hardware. Not for everything - for the long tail of focused, repetitive work that makes up most of what we actually automate. Knowing which of your workflows would survive a 10x price increase is cheap... - Source: dev.to / 3 days ago
P.S originally it was only daily.dev. Now it is (dev.to)[https://dev.to] as well! - Source: dev.to / 3 days ago
That is the gap Arcade.dev is purpose-built to close. Unlike a routing gateway that simply proxies requests, Arcade is a full action runtime. It's a secure execution environment for production agents with per-user authorization, vaulted credentials, structured audit logs, and hosted tool execution. It delivers a hosted catalog of over 8,000 pre-built agent-optimized MCP tools, designed for agent intent rather than... - Source: dev.to / 7 days ago
Outside PostHog, the acquisition picture did not match. Real arrivals were mostly organic Google Search. In Search Console, we had not yet hit the first โ30 clicks from Google Search in the past 28 daysโ milestone. We had only just started posting on dev.to, so that channel was not a material source either. - Source: dev.to / 8 days ago
ZeroDrop ships an MCP server that exposes exactly those three tools. Install it into any MCP-capable client:. - Source: dev.to / 8 days ago
DQLabs.ai - The Modern Data Quality Platform.
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Metaplane - Metaplane is the Datadog for Data โ a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
Hashnode - A friendly and inclusive Q&A network for coders