DEV.to Reviews

1. jorge

   · CEO at Escuela de Formación Técnica Chile SPA · over 6 years ago
   It is a nice mini-blog, it's for free and such but

   As 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.

   🏁 Competitors: Medium

   👍 Pros:    Free

   👎 Cons:    Social justice|Basic features|Quality of content

Scikit Image Reviews

DEV.to mentions (657)

• What Is AI Agent Tool Calling? MCP, Function Calling, and A2A Explained (2026)

  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 / 2 days ago

• Active players looked real until we asked which sessions counted

  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 “30 clicks from Google Search in the past 28 days” milestone. We had only just started posting on dev.to, so that channel was not a material source either. - Source: dev.to / 3 days ago

• How to let AI agents verify email signups

  ZeroDrop ships an MCP server that exposes exactly those three tools. Install it into any MCP-capable client:. - Source: dev.to / 3 days ago

• 🐘 Like... TypeScript for PHP? Yes. And it's not what you think

  In the previous parts of this series, we explored how PureScript acts as a quiet rewrite of the Web, offering a sanctuary of mathematical precision above JavaScript, and how its universal polymorphism allows it to target wildly different runtimes like Node.js, Erlang's BEAM, Chez Scheme, etc. - Source: dev.to / 5 days ago

• My Blog Had 20 Unanswered Comments Across 35 Posts. Nothing Ever Told Me.

  Def pending(): drafted = open(DRAFTS, encoding="utf-8").read() out = [] for a in api(f"/articles?username={ME}&per_page=100"): if not a["comments_count"]: continue for c in api(f"/comments?a_id={a['id']}"): if c["user"]["username"] == ME or replied_by_me(c): continue if c["id_code"] in drafted: continue ... - Source: dev.to / 7 days ago

Scikit Image mentions (7)

• How to Estimate Depth from a Single Image

  We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years ago

• Exploring Open-Source Alternatives to Landing AI for Robust MLOps

  Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 2 years ago

• Is it possible to add a noise to an image in python?

  This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago

• A CLI that does simple image processing and also generates cool patterns

  Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago

• Color Matrices for scan correction

  There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago