Software Alternatives, Accelerators & Startups

lf (file manager) VS QlikSense

Compare lf (file manager) VS QlikSense and see what are their differences

lf (file manager) logo lf (file manager)

Terminal file manager written in Go (programming language).

QlikSense logo QlikSense

A business discovery platform that delivers self-service business intelligence capabilities
  • lf (file manager) Landing page
    Landing page //
    2023-10-04
  • QlikSense Landing page
    Landing page //
    2022-08-02

Category Popularity

0-100% (relative to lf (file manager) and QlikSense)
FTP Client
100 100%
0% 0
Data Dashboard
0 0%
100% 100
File Manager
100 100%
0% 0
Business Intelligence
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, lf (file manager) seems to be more popular. It has been mentiond 62 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.

lf (file manager) mentions (62)

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QlikSense mentions (0)

We have not tracked any mentions of QlikSense yet. Tracking of QlikSense recommendations started around Mar 2021.

What are some alternatives?

When comparing lf (file manager) and QlikSense, you can also consider the following products

nnn - Fast and resource-sensitive file manager for the terminal

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Broot - Commandline app to simplify directory navigation.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Midnight Commander - GNU Midnight Commander is a visual file manager, licensed under GNU General Public License and...

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.