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Fluent Assertions Faces Backlash After Abandoning Open Source Licensing
Fluent Assertions is facing backlash after dropping the Apache license for a commercial model, leaving users blindsided and questioning contributor rights.
Check out the GlareDB repo to learn more.
Use GlareDB directly in Python to query and analyzer a variety of data sources, including Polars and Pandas data frames.
import glaredb
import polars as pl
df = pl.DataFrame(
{
"A": [1, 2, 3, 4, 5],
"fruits": ["banana", "banana", "apple", "apple", "banana"],
"B": [5, 4, 3, 2, 1],
"cars": ["beetle", "audi", "beetle", "beetle", "beetle"],
}
)
con = glaredb.connect()
df = con.sql("select * from df where fruits = 'banana'").to_polars();
print(df)
# shape: (3, 4)
# βββββββ¬βββββββββ¬ββββββ¬βββββββββ
# β A β fruits β B β cars β
# β --- β --- β --- β --- β
# β i64 β str β i64 β str β
# βββββββͺβββββββββͺββββββͺβββββββββ‘
# β 1 β banana β 5 β beetle β
# β 2 β banana β 4 β audi β
# β 5 β banana β 1 β beetle β
# βββββββ΄βββββββββ΄ββββββ΄βββββββββ
FAQs
GlareDB is a fast SQL database for querying and analyzing distributed data.
We found that glaredb demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 1 open source maintainer collaborating on the project.
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