Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
WorkMeter
WorkMeter es una empresa española pionera en software SaaS para la medición automática de tiempos y cargas de trabajo. Su tecnología ofrece métricas precisas sobre actividad laboral, fichaje, calendarios, ausencias, uso de aplicaciones y costos en proyectos, integrables en dashboards empresariales para mejorar la productividad y la toma de decisiones basada en datos objetivos.
Su solución permite cumplir con normativas como el control horario, trabajo a distancia y desconexión digital, promoviendo transparencia, flexibilidad y bienestar laboral, siempre respetando la privacidad del empleado. Además, contribuye a la digitalización de RRHH, optimizando procesos y reduciendo costes.
Nuestras soluciones
Gestión del tiempo: Fichaje automático, control de horas extras, gestión de vacaciones, desconexión digital y optimización del trabajo en equipo.
Medición del desempeño: Evaluación de productividad, equilibrio de cargas de trabajo y validación del teletrabajo.
Gestión de proyectos: Imputación automática de actividad, medición de tiempos y costos, y control de avances y desviaciones.
Más de 50.000 usuarios en España y Latinoamérica confían en WorkMeter para mejorar la eficiencia y garantizar el cumplimiento normativo.
DeepnoteBased on our record, Deepnote seems to be more popular. It has been mentiond 34 times since March 2021. 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.
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics
Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.