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Vnlog Alternatives
Similar projects and alternatives to vnlog
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jq
Discontinued Command-line JSON processor [Moved to: https://github.com/jqlang/jq] (by stedolan)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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miller
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
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DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
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commonmark-spec
CommonMark spec, with reference implementations in C and JavaScript
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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feedgnuplot
Tool to plot realtime and stored data from the commandline, using gnuplot.
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ttyplot
a realtime plotting utility for terminal/console with data input from stdin
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matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better vnlog alternative or higher similarity.
vnlog reviews and mentions
Posts with mentions or reviews of vnlog.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-22.
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Qsv: Efficient CSV CLI Toolkit
An incomplete list of other similar tools: https://github.com/dkogan/vnlog/#description
For simple analyses (i.e. what most people do most of the time) doing this on the commandline gets you there faster. I use vnlog (https://github.com/dkogan/vnlog/). By the time you fired up your editor to write your Python code, I already have analyses and plots ready.
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Joining CSV Data Without SQL: An IP Geolocation Use Case
Alternative very appropriate for some uses cases: `vnl-join` from the vnlog toolkit (https://github.com/dkogan/vnlog). Uses the `join` tool from coreutils (works well, has been around forever), and `vnlog` for nice column labelling
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Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
There's also https://github.com/dkogan/vnlog/ which is a wrapper around the existing coreutils, so all the options work, and there's nothing to learn
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jupyter and vim
I found using shell as an interactive environment to be pretty productive using https://github.com/dkogan/feedgnuplot and https://github.com/dkogan/vnlog. The filesystem becomes your state (instead of in memory state of your Python interpreter) which forces you to write Unix-style tools. Plotting with feedgnuplot spins up an interactive Qt plotter which I often used to explore 3D plots. It's not "inline" and fancy and does take a bit of grokking but I eventually found it more productive than Jupyter, especially as my development moved away from Python.
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Miller CLI – Like Awk, sed, cut, join, and sort for CSV, TSV and JSON
Similar, but using the ACTUAL awk, sed, join, sort tools you already have and know about: https://github.com/dkogan/vnlog/
- A Straightforward Way to Extend CSV with Metadata
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Best scientific graphing library?
Write space delimited tabular data (ideally in vnlog format) and plot it using feedgnuplot. Also helps decouple concerns (data generating application focuses on generating data).
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plotpipe: plot data from a pipe
I use feedgnuplot in conjunction with vnlog all the time at work! It’s a great pipeline.
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Setting up personal OKR (objectives and key-results)
I have a text file in a known location. It's backed up on git.
I can open and edit that file quickly using bash. From within VIM I can quickly commit to reduce the # keystrokes. More details: https://github.com/jodavaho/bashlog
(Really though, you can just save as an environment variable your file location)
The text file is structured with space-delimited text, like this: https://github.com/dkogan/vnlog
My current structure:
"# date item amount"
Easy to open, easy to plop down today's date and the item / amount. Save multiple date/item entries and add them inscripts ... Easy to save. Done.
The work came in building stuff to plot it:
I have other files that link "items" to goals or other metadata like categories, etc. Like a relational database, but easily edited in text.
For example, to make a link from daily items to Key Results
"# item okr"
okr is structured like this: ...
For example:
2020.Q4.01.01 is workout 90x (1/day)
2020.Q4.02.02 is get through 26 textbook chapters
2020.Q4.02.03 is 100 h studying literature
The categories are usually Fighting (I box), Tech, Mental health, and Social, but YMMV
Another example is "workout-mapping.vnl" with structure:
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A note from our sponsor - InfluxDB
www.influxdata.com | 17 Apr 2024
Stats
Basic vnlog repo stats
24
158
6.7
4 months ago
The primary programming language of vnlog is Perl.
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