Software Alternatives, Accelerators & Startups

BigML VS DEV.to

Compare BigML VS DEV.to and see what are their differences

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BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

DEV.to logo DEV.to

Where software engineers connect, build their resumes, and grow.
  • BigML Landing page
    Landing page //
    2022-10-08
  • DEV.to Landing page
    Landing page //
    2023-05-13

BigML features and specs

  • User-Friendly Interface
    BigML offers an intuitive web-based interface that makes it easy for users to build and deploy machine learning models without deep technical knowledge.
  • Wide Range of Algorithms
    It supports various machine learning algorithms, including regression, classification, clustering, and anomaly detection, catering to diverse use cases.
  • Ease of Integration
    BigML provides robust API support, allowing seamless integration with other applications and systems for streamlined workflows.
  • Visualization Tools
    The platform includes powerful visualization tools that help in understanding data, model performance, and results, aiding in better decision-making.
  • Scalability
    BigML's cloud-based infrastructure allows it to scale easily, handling large datasets and complex models efficiently.
  • Automated Workflows
    It offers automation features like WhizzML for creating automated workflows and advanced scripts, making repetitive tasks simpler.

Possible disadvantages of BigML

  • Cost
    The pricing structure can be a limiting factor for startups or individual users, especially when dealing with large amounts of data.
  • Limited Customization
    While the platform offers many pre-built algorithms, there is limited scope for customization compared to building models from scratch using open-source libraries.
  • Learning Curve
    Despite its user-friendly design, there can be a learning curve for those unfamiliar with machine learning concepts, particularly for advanced features.
  • Dependency on Internet
    As a cloud-based service, users need a reliable internet connection to access and utilize BigML's features, which can be a drawback in areas with poor connectivity.
  • Data Privacy Concerns
    Using a cloud-based service can raise data privacy and security concerns, particularly for sensitive or proprietary data.

DEV.to features and specs

  • Community Engagement
    DEV.to offers an active and supportive community of developers where users can share knowledge, seek advice, and collaborate on projects. This fosters a sense of belonging and continuous learning.
  • Ease of Use
    The platform provides a straightforward and user-friendly interface, making it easy for users to publish content, engage with other posts, and navigate through various resources.
  • Content Diversity
    DEV.to features a wide range of topics related to software development, from beginner tutorials to advanced technical articles. This diversity makes it a valuable resource for developers at all skill levels.
  • Open Source and Transparency
    DEV.to is built on open-source software, which promotes transparency and allows users to contribute to the platformโ€™s development. This aligns with the core values of many developers.
  • Cross-Posting Capabilities
    Users can easily cross-post articles from their personal blogs or other platforms, increasing their contentโ€™s reach and visibility without significant additional effort.

Possible disadvantages of DEV.to

  • Content Quality Variation
    Given its open nature, the quality of content on DEV.to can be inconsistent. Users may need to sift through a mix of high-quality and less useful posts to find valuable information.
  • Platform-Specific Features
    Some features and optimizations are tailored specifically for the DEV.to platform, which might not translate well if the content is shared elsewhere.
  • Limited Advanced Customization
    While the platform is user-friendly, it offers limited customization options for articles and personal profiles compared to more robust blogging platforms.
  • Visibility Challenges
    With a large user base, it can be challenging for new users or less popular posts to gain traction and visibility unless they are highly engaging or promoted.
  • Distraction Potential
    The platform's social features, such as discussions and notifications, can sometimes be distracting, potentially impacting productivity for users who are easily sidetracked.

Analysis of BigML

Overall verdict

  • BigML is a good choice for users seeking an accessible and efficient machine learning platform. Its combination of ease of use, flexibility, and robust features allows for effective data analysis and model deployment, making it suitable for many use cases.

Why this product is good

  • BigML is a popular machine learning platform known for its user-friendly interface and comprehensive suite of tools that cater to both beginners and experts. It offers a wide range of machine learning models and allows for seamless integration with other tools and workflows. Users appreciate its ease of use, scalability, and ability to handle various types of data. Additionally, BigML provides extensive documentation and support, making it an attractive option for those looking to implement machine learning solutions without extensive coding knowledge.

Recommended for

  • Data scientists and analysts looking for an intuitive platform to build and deploy models.
  • Businesses aiming to integrate machine learning into their operations without a steep learning curve.
  • Educators and students who wish to explore machine learning concepts hands-on.
  • Developers needing a scalable solution with ample API support for custom applications.
  • Organizations looking for a reliable and secure cloud-based machine learning solution.

Analysis of DEV.to

Overall verdict

  • Yes, DEV.to is considered a good platform for developers looking to connect with peers, stay updated with industry trends, and share their knowledge.

Why this product is good

  • DEV.to is a popular online community for software developers where they can share articles, tutorials, and insights related to programming and technology. It's known for its supportive environment, user-friendly interface, and the diversity of content, making it a good resource for learning and networking.

Recommended for

  • Aspiring software developers seeking learning resources and mentorship.
  • Experienced developers looking to share knowledge and contribute to the community.
  • Individuals interested in keeping up with the latest trends and discussions in technology.

BigML videos

BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

DEV.to videos

Ben Halpern founder of Dev.To & The Practical Dev

Category Popularity

0-100% (relative to BigML and DEV.to)
Data Science And Machine Learning
CMS
0 0%
100% 100
Technical Computing
100 100%
0% 0
Blogging
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare BigML and DEV.to

BigML Reviews

We have no reviews of BigML yet.
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DEV.to Reviews

  1. 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.

    ๐Ÿ Competitors: Medium
    ๐Ÿ‘ Pros:    Free
    ๐Ÿ‘Ž Cons:    Social justice|Basic features|Quality of content

Best Forums for Developers to Join in 2025
The 'dev.to' forum is a great place for developers to find answers, share their knowledge, and learn from others. It's a place for people to talk about their projects, ask questions, and get feedback.
Source: www.notchup.com
Top 10 Developer Communities You Should Explore
One of Dev.toโ€™s unique features is its focus on the human side of coding. Developers often share their personal stories, career journeys, and lessons learned, creating a sense of camaraderie within the community. The platform also encourages content creators by providing a clean and user-friendly interface for writing and sharing articles.
Source: www.qodo.ai

Social recommendations and mentions

Based on our record, DEV.to seems to be a lot more popular than BigML. While we know about 657 links to DEV.to, we've tracked only 2 mentions of BigML. 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.

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com โ€” Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / almost 5 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: about 5 years ago

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 / 1 day 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 โ€œ30 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 / 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
  • ๐Ÿ˜ 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
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What are some alternatives?

When comparing BigML and DEV.to, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Hashnode - A friendly and inclusive Q&A network for coders