Lunatask remembers stuff for you and knows what to work on next. Choose from a variety of productivity techniques like Kanban, Must/Should/Want Method, Eisenhower Matrix, or Time Blocking to get stuff actually done. Track progress on your habits and see how they affect you. Markdown, end-to-end encryption, and much more included 🚀
No need for 5 different productivity apps. Want to give it a try? 👉 https://lunatask.app
Based on our record, Plotly should be more popular than Lunatask. It has been mentiond 29 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.
I’ve been using Lunatask for several months and it’s been really helpful, but in my heart I’m still a 137 Post-It on my desk kinda guy. Source: 12 months ago
I will never stop recommending Lunatask when it comes to task management. It also has note taking functionality, but I personally use Standard Notes for that. Source: about 1 year ago
I think Lunatask has all of the features you’re looking for: https://lunatask.app/. Source: about 1 year ago
I tried nearly every dedicated app and now I'm testing an all-in-one approach and I'm really liking It: Lunatask. It seems to me that I'll stick to this solution. Source: about 1 year ago
Tasks and short-form notes: Twos. It's simple and It works. Great to register thoughts and journaling. Projects and references: Bundled Notes. 1) It has the best UX I ever had on Android 2) Using kanbans to manage projects is simple and fast 3) Save info with a lot of clickable tags is a nice way of filtering content for references. Long-form notes and creative writing: UpNote. It's a thing of beauty. Powerful... Source: about 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
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