**[Explain what this list is about and why it should be included here]**
### By submitting this pull request I confirm I've read and complied with the below requirements 🖖
**Please read it multiple times. I spent a lot of time on these guidelines and most people miss a lot.**
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- Your entry should be added at the bottom of the appropriate category.
- The suggested Awesome list complies with the below requirements.
## Requirements for your Awesome list
- **Has been around for at least 30 days.**<br>That means 30 days from either the first real commit or when it was open-sourced. Whatever is most recent.
<sub><b>Botpress is an open-source conversational assistant creation platform.</b></sub>
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<sub>They <ahref="https://github.com/botpress/botpress/blob/master/.github/CONTRIBUTING.md">welcome contributions</a> from anyone, whether you're into machine learning,<br>want to get started in open-source, or just have an improvement idea.</sub>
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## Contents
- [Platforms](#platforms)
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- [Miscellaneous](#miscellaneous)
- [Related](#related)
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## Platforms
- [Node.js](https://github.com/sindresorhus/awesome-nodejs#readme) - Async non-blocking event-driven JavaScript runtime built on Chrome's V8 JavaScript engine.
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- [Cloudflare](https://github.com/irazasyed/awesome-cloudflare#readme) - CDN, DNS, DDoS protection, and security for your site.
- [Actions on Google](https://github.com/ravirupareliya/awesome-actions-on-google#readme) - Developer platform for Google Assistant.
- [Imba](https://github.com/koolamusic/awesome-imba#readme) - Programming language inspired by Ruby and Python and compiles to performant JavaScript.
- [Vala](https://github.com/desiderantes/awesome-vala#readme) - Programming language designed to take full advantage of the GLib and GNOME ecosystems, while preserving the speed of C code.
- [Information Retrieval](https://github.com/harpribot/awesome-information-retrieval#readme) - Learn to develop your own search engine.
- [Quantum Computing](https://github.com/desireevl/awesome-quantum-computing#readme) - Computing which utilizes quantum mechanics and qubits on quantum computers.
- [Apache Spark](https://github.com/awesome-spark/awesome-spark#readme) - Unified engine for large-scale data processing.
- [Qlik](https://github.com/ambster-public/awesome-qlik#readme) - Business intelligence platform for data visualization, analytics, and reporting apps.
## Theory
- [Papers We Love](https://github.com/papers-we-love/papers-we-love#readme)
- [HBase](https://github.com/rayokota/awesome-hbase#readme) - Distributed, scalable, big data store.
- [NoSQL Guides](https://github.com/erictleung/awesome-nosql-guides#readme) - Help on using non-relational, distributed, open-source, and horizontally scalable databases.
- [Clean Tech](https://github.com/nglgzz/awesome-clean-tech#readme) - Fighting climate change with technology.
- [Wardley Maps](https://github.com/wardley-maps-community/awesome-wardley-maps#readme) - Provides high situational awareness to help improve strategic planning and decision making.
## Work
- [Slack](https://github.com/matiassingers/awesome-slack#readme) - Team collaboration.
- [Bitcoin](https://github.com/igorbarinov/awesome-bitcoin#readme) - Bitcoin services and tools for software developers.
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- [Blockchain AI](https://github.com/steven2358/awesome-blockchain-ai#readme) - Blockchain projects for artificial intelligence and machine learning.
- [EOSIO](https://github.com/DanailMinchev/awesome-eosio#readme) - A decentralized operating system supporting industrial-scale apps.
## Higher Education
- [Computational Neuroscience](https://github.com/eselkin/awesome-computational-neuroscience#readme) - A multidisciplinary science which uses computational approaches to study the nervous system.
- [Digital History](https://github.com/maehr/awesome-digital-history#readme) - Computer-aided scientific investigation of history.
## Miscellaneous
- [JSON](https://github.com/burningtree/awesome-json#readme) - Text based data interchange format.
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- [Naming](https://github.com/gruhn/awesome-naming#readme) - Naming things in computer science done right.
- [Biomedical Information Extraction](https://github.com/caufieldjh/awesome-bioie#readme) - How to extract information from unstructured biomedical data and text.
## Related
- [Awesome Indexed](https://awesome-indexed.mathew-davies.co.uk) - Search the Awesome dataset.