MindsDB enables you to use ML predictions in your database using SQL. MindsDB automates and abstracts machine learning models through virtual AI Tables. It can easily make predictions over very complex multivariate time-series data with high cardinality. 
 
Its features include:
<ul>
<li>Automatic data pre-processing, feature engineering and encoding</li>
<li>Classification, regression, time-series tasks</li>
<li>Bring models to production without &ldquo;traditional deployment&rdquo; as AI Tables</li>
<li>Get mModels&rsquo; accuracy scoring and confidence intervals for each prediction</li>
<li>Join ML models with existing data</li>
<li>Anomaly detection</li>
<li>Model explainability analysis</li>
<li>GPU support for models&rsquo; training</li>
<li>Open JSON-AI syntax to build models and bring your own ML blocks in a declarative way</li>
<li>REST API available as well</li>
</ul>

MindsDB enables you to use ML predictions in your database using SQL. MindsDB automates and abstracts machine learning models through virtual AI Tables. It can easily make predictions over very complex multivariate time-series data with high cardinality. 







MindsDB - In-Database Machine Learning



PostHog provides open-source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. It provides event-based analytics at a user level, capture your product's usage data to see which users are doing what in your application. It automatically capture clicks and pageviews to analyze what your users are doing without pushing events manually. PostHog supports session recording to watch videos of your user behavior, with fine-grained privacy controls. It also has plugins to integrate your product usage data with other systems, like your CRM, or data lakes.
Its features include:
<ul>
<li>Event based analytics</li>
<li>User and Group Tracking</li>
<li>Data Visualization</li>
<li>Session Recording</li>
<li>Feature Flag</li>
<li>Heatmap</li>
<li>Correlation analysis</li>
</ul>
If you want to test or play with PostHog, try installing in Linux using Docker
<pre class="language-bash"><code> /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)" </code></pre>
&nbsp;

PostHog provides open-source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. It provides event-based analytics at a user level, capture your product's usage data to see which users are doing what in your application. It automatically capture clicks and pageviews to analyze what your users are doing without pushing events manually.

PostHog - Product analytics, built for developers

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