# Which low-code machine learning platforms are worth using for a product manager or analyst who needs to build simple models without writing Python or R code?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I've been comparing notes for a roundup aimed at the non-coder crowd, product managers, and analysts who need to build a simple model without touching Python or R. So I filtered these reviews down to the "no-code, drag-and-drop" comments to see which tools that audience actually praised. In G2's<a class="a a--md" elv="true" href="https://www.g2.com/categories/low-code-machine-learning-platforms"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/low-code-machine-learning-platforms">low-code machine learning platforms</a> category, the tools that came up most for true no-code use were Alteryx, KNIME, and SAS Viya, with a couple more worth a look. Here's the list:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/alteryx"><strong>Alteryx</strong></a> - The most-cited no-code tool here, with reviewers describing a drag-and-drop canvas where you connect tools like building blocks, no SQL or Python required. Finance and business reviewers specifically say it works for people who don't know code.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/knime-analytics-platform"><strong>KNIME</strong></a> - Reviewers compare its visual workflow style to using a flowchart tool, calling it accessible to anyone regardless of coding background, while still reaching advanced analytics.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sas-sas-viya"><strong>SAS Viya</strong></a> - Reviewers like that you can get insights and automated reports without code, while keeping the option to write code if you want it, which suits mixed teams.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dataiku"><strong>Dataiku</strong></a> - Described as mostly no-code, letting non-technical users collaborate with analysts and data scientists in the same visual flow.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/qlik-predict"><strong>Qlik Predict</strong></a> - A reviewer highlighted its no-code approach to automation and integration, useful for analysts who want predictions without building the plumbing.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For the PMs and analysts here, which of these let you build something useful on day one without help from a data scientist? And did any of them stay genuinely no-code, or did you eventually hit a point where you needed someone to write code after all?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 15 days ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;KNIME is the one that lets a PM or analyst build on day one, drag-and-drop, no Python or R. Reviewers say the no-code path holds for prep and modeling, and the opportunity is that polished apps or very large datasets may invite a little scripting later. Match the tool to your data size.&lt;/p&gt;

##### Comment Metadata
- Posted at: about 20 hours ago
- Author title: Marketer and Business Owner





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