
Dataiku
Scikit-learn
Pandas
NumPy
OpenCV
Exploratory
htm.java
Figure Eight
Gramta
GetGram.eu
Dataiku
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Gramta's answer:
Gramta replaces fragmented spreadsheets and manual compliance work with one streamlined workflow for EU EPR and PPWR. It turns sales and packaging data into filing-ready reports and declarations across multiple European markets, helping sellers manage complex requirements from a single platform.
Gramta's answer:
Gramta is purpose-built for European packaging EPR and PPWR compliance. It brings packaging data, product SKUs, country-specific obligations, registrations, declarations, and compliance documents into one platform. Instead of relying on spreadsheets and disconnected tools, teams can create filing-ready reports, manage multiple markets, and keep structured compliance records as regulations change.
Gramta's answer:
Gramta is built with a modern web application stack, using Supabase for backend services and authentication, Vercel for hosting and deployment, GitHub for version control and CI/CD, and PostHog for product analytics.
Gramta's answer:
Gramta is built for companies that sell packaged products across Europe, including e-commerce sellers, brands, manufacturers, importers, and compliance teams. It is especially useful for businesses managing EPR and PPWR obligations across multiple European markets.
Gramta's answer:
Gramta began with a simple goal: make European packaging compliance easier to manage. After seeing companies struggle with fragmented spreadsheets, country-specific requirements, and manual reporting, we built one platform for turning sales and packaging data into filing-ready EPR reports and PPWR declarations across Europe.
Gramta's answer:
PoppaTea is one example of one
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GetGram.eu - Turn your sales data into filing-ready EU packaging EPR & PPWR reports - no spreadsheets, no guesswork. In early pilot now, starting with Sweden; built to cover every EU market.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NumPy - NumPy is the fundamental package for scientific computing with Python
OpenCV - OpenCV is the world's biggest computer vision library
Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.