csv2ofx
spyql
| csv2ofx | spyql | |
|---|---|---|
| 2 | 23 | |
| 189 | 902 | |
| - | - | |
| 4.4 | 0.0 | |
| 2 months ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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csv2ofx
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How do you track your finances? Software? Apps? Excel?
I was annoyed enough that Starling only offered CSV + PDF, meaning I had to write a mapper: https://github.com/reubano/csv2ofx/pull/69
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Best apps for logging and categorising expenditures?
It isn't "linked" to your bank account, but every provider I've used has allowed QIF, OFX or CSV downloads which you can import into it.
spyql
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Fq: Jq for Binary Formats
I prefer a SQL-like format. It’s not as complete but it cover most of the day-to-day use cases. Take a look at https://github.com/dcmoura/spyql (I am the author). Congrats on fq!
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Command-line data analytics made easy with SPyQL
SPyQL documentation: spyql.readthedocs.io
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This Week In Python
spyql – Query data on the command line with SQL-like SELECTs powered by Python expressions
- Command-line data analytics made easy
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Jc – JSONifies the output of many CLI tools
This is great!
I am the author of SPyQL [1]. Combining JC with SPyQL you can easily query the json output and run python commands on top of it from the command-line :-) You can do aggregations and so forth in a much simpler and intuitive way than with jq.
I just wrote a blogpost [2] that illustrates it. It is more focused on CSV, but the commands would be the same if you were working with JSON.
[1] https://github.com/dcmoura/spyql
- The fastest command-line tools for querying large JSON datasets
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Working with more than 10gb csv
You can import the data into a PostgreSQL/MySQL/SQLite/... database and then query the database. However, even with the right choice of indexes, it might take a while to run queries on a table with hundreds of millions of records. You can easily import your data to these databases with SpyQL: $ spyql "SELECT * FROM csv TO sql(table=my_table_name) | sqlite3 my.db" (you would need to create the table my_table_name before running the command).
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ClickHouse Cloud is now in Public Beta
https://github.com/dcmoura/spyql/blob/master/notebooks/json_...
And ClickHouse looks like a normal relational database - there is no need for multiple components for different tiers (like in Druid), no need for manual partitioning into "daily", "hourly" tables (like you do in Spark and Bigquery), no need for lambda architecture... It's refreshing how something can be both simple and fast.
- A SQLite extension for reading large files line-by-line
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I want to convert a large JSON file into Tabular Format.
I thought this library was pretty nifty for json. It's also relatively fast compared to most json parsers: https://github.com/dcmoura/spyql
What are some alternatives?
ofxstatement - Tool to convert proprietary bank statement to OFX format, suitable for importing to GnuCash or other personal finance applications.
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
GnuCash - GnuCash Double-Entry Accounting Program.
malloy - Malloy is an experimental language for describing data relationships and transformations.
moneymanagerex - Money Manager Ex is an easy to use, money management application built with wxWidgets
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
q - q - Run SQL directly on delimited files and multi-file sqlite databases
Preql - An interpreted relational query language that compiles to SQL.
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
pxi - 🧚 pxi (pixie) is a small, fast, and magical command-line data processor similar to jq, mlr, and awk.
partiql-lang-kotlin - PartiQL libraries and tools in Kotlin.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.