• Stars
    star
    461
  • Rank 95,028 (Top 2 %)
  • Language
    Java
  • License
    MIT License
  • Created almost 8 years ago
  • Updated 3 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

🍬 A library converting XLS and XLSX files to a list of Java objects based on Apache POI

Poiji

Build Status Codacy code quality Codecov apache.poi 5.2.3 brightgreen FOSSA Status

Poiji is a tiny thread-safe Java library that provides one way mapping from Excel sheets to Java classes. In a way it lets us convert each row of the specified excel data into Java objects. Poiji uses Apache Poi (the Java API for Microsoft Documents) under the hood to fulfill the mapping process.

Getting Started

In your Maven/Gradle project, first add the corresponding dependency:

maven
<dependency>
  <groupId>com.github.ozlerhakan</groupId>
  <artifactId>poiji</artifactId>
  <version>4.1.2</version>
</dependency>

You can find the latest and earlier development versions including javadoc and source files on Sonatypes OSS repository.

Usage

Poiji.fromExcel Structure
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>, com.poiji.option.PoijiOptions, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, com.poiji.option.PoijiOptions, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class<T>, com.poiji.option.PoijiOptions, java.util.function.Consumer<? super T>)

com.poiji.bind.Poiji#fromExcelProperties(java.io.File, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcelProperties(java.io.File, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcelProperties(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcelProperties(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, com.poiji.option.PoijiOptions)
PoijiOptions.PoijiOptionsBuilder Structure
com.poiji.option.PoijiOptions.PoijiOptionsBuilder
    #settings()
    #build()
    #dateLenient(boolean)
    #dateRegex(String)
    #datePattern(String)
    #dateTimeFormatter(java.time.format.DateTimeFormatter)
    #ignoreHiddenSheets(boolean)
    #password(String)
    #preferNullOverDefault(boolean)
    #settings(int)
    #sheetIndex(int)
    #skip(int)
    #limit(int)
    #trimCellValue(boolean)
    #headerStart(int)
    #withCasting(Casting)
    #withFormatting(Formatting)
    #caseInsensitive(boolean)
    #ignoreWhitespaces(boolean)
    #poijiNumberFormat(PoijiNumberFormat)
    #poijiLogCellFormat(PoijiLogCellFormat)
    #disableXLSXNumberCellFormat()
    #addListDelimiter(String)
    #setLocale(java.util.Locale)
    #rawData(boolean)

Documentation

Here are the list of features with examples that the latest version of Poiji supports.

Annotations

Create your object model:

public class Employee {

    @ExcelRow                    (1)
    private int rowIndex;

    @ExcelCell(0)                (2)
    private long employeeId;     (3)

    @ExcelCell(1)
    private String name;

    @ExcelCell(2)
    private String surname;

    @ExcelCell(3)
    private int age;

    @ExcelCell(4)
    private boolean single;

    @ExcelCellName("emails")     (4)
    List<String> emails;

    @ExcelCell(5)
    List<BigDecimal> bills;

    //no need getters/setters to map excel cells to fields
}
  1. Optionally, we can access the index of each row item by using the ExcelRow annotation. Annotated variable should be of type int, double, float or long.

  2. A field must be annotated with @ExcelCell along with its property in order to get the value from the right coordinate in the target excel sheet.

  3. An annotated field can be either protected, private or public modifier. The field may be either of boolean, int, long, float, double, or their wrapper classes. You can add a field of java.util.Date, java.time.LocalDate, java.time.LocalDateTime and String as well.

  4. If one column contains multiple value, you can get them using a List field. A List field can store items which is of type BigDecimal, Long, Double, Float, Integer, Boolean and String.

This is the excel file (employees.xlsx) we want to map to a list of Employee instance:

ID NAME SURNAME AGE SINGLE BILLS EMAILS

123923

Joe

Doe

30

TRUE

123,10;99.99

[email protected];[email protected]

123123

Sophie

Derue

20

TRUE

1022

[email protected];[email protected]

135923

Paul

Raul

31

FALSE

73,25;70

[email protected];[email protected]

The snippet below shows how to obtain the excel data using Poiji.

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
        .addListDelimiter(";") (1)
        .build();
List<Employee> employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);
// alternatively
InputStream stream = new FileInputStream(new File("employees.xls"))
List<Employee> employees = Poiji.fromExcel(stream, PoijiExcelType.XLS, Employee.class, options);

employees.size();
// 3
Employee firstEmployee = employees.get(0);
// Employee{rowIndex=1, employeeId=123923, name='Joe', surname='Doe', age=30, single=true, emails=[[email protected], [email protected]], biils=[123,10, 99.99]}
  1. By default the delimiter/separator is , to split items in a cell. There is an option to change this behavior. Since we use ; between items, we need to tell Poiji to use ; as a separator.

By default, Poiji ignores the header row of the excel data. If you want to ignore the first row of data, you need to use PoijiOptions.

PoijiOptions options = PoijiOptionsBuilder.settings(1).build(); // we eliminate Joe Doe.
List<Employee> employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);
Employee firstEmployee = employees.get(0);
// Employee{rowIndex=2, employeeId=123123, name='Sophie', surname='Derue', age=20, single=true, emails=[[email protected], [email protected]], biils=[1022]}

By default, Poiji selects the first sheet of an excel file. You can override this behaviour like below:

PoijiOptions options = PoijiOptionsBuilder.settings()
                       .sheetIndex(1) (1)
                       .build();
  1. Poiji should look at the second (zero-based index) sheet of your excel file. == Documentation

Prefer Default Value

If you want a date field to return null rather than a default date, use PoijiOptionsBuilder with the preferNullOverDefault method as follows:

PoijiOptions options = PoijiOptionsBuilder.settings()
                       .preferNullOverDefault(true) (1)
                       .build();
  1. a field that is of type either java.util.Date, Float, Double, Integer, Long or String will have a null value.

Sheet Name Option

Poiji allows specifying the sheet name using annotation

@ExcelSheet("Sheet2")  (1)
public class Student {

    @ExcelCell(0)
    private String name;

    @ExcelCell(1)
    private String id;

    @ExcelCell(2)
    private String phone;


    @Override
    public String toString() {
        return "Student {" +
                " name=" + name +
                ", id=" + id + "'" +
                ", phone='" + phone + "'" +
                '}';
    }
}
  1. With the ExcelSheet annotation we are configuring the name of the sheet to read data from. The other sheets will be ignored.

Protected Excels

Consider that your excel file is protected with a password, you can define the password via PoijiOptionsBuilder to read rows:

PoijiOptions options = PoijiOptionsBuilder.settings()
                    .password("1234")
                    .build();
List<Employee> employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);

Annotation ExcelCellName

Using ExcelCellName, we can read the values by column names directly.

public class Person {

    @ExcelCellName("Name")  (1)
    protected String name;

    @ExcelCellName("Address")
    protected String address;

    @ExcelCellName("Age")
    protected int age;

    @ExcelCellName("Email")
    protected String email;

}
  1. We need to specify the name of the column for which the corresponding value is looked. By default, @ExcelCellName is case-sensitive and the excel file should’t contain duplicated column names. However, you can manipulate this feature using PoijiOptionsBuilder#caseInsensitive(boolean) and you can ignore white spaces using PoijiOptionsBuilder#ignoreWhitespaces(boolean).

For example, here is the excel (person.xls) file we want to use:

Name Address Age Email

Joe

San Francisco, CA

30

[email protected]

Sophie

Costa Mesa, CA

20

[email protected]

List<Person> people = Poiji.fromExcel(new File("person.xls"), Person.class);
people.size();
// 2
Person person = people.get(0);
// Joe
// San Francisco, CA
// 30
// [email protected]

Given that the first column always stands for the names of people, you’re able to combine the ExcelCell annotation with ExcelCellName in your object model:

public class Person {

    @ExcelCell(0)
    protected String name;

    @ExcelCellName("Address")
    protected String address;

    @ExcelCellName("Age")
    protected int age;

    @ExcelCellName("Email")
    protected String email;

}

Super Class Inheritance

Your object model may be derived from a super class:

public abstract class Vehicle {

    @ExcelCell(0)
    protected String name;

    @ExcelCell(1)
    protected int year;
}

public class Car extends Vehicle {

    @ExcelCell(2)
    private int nOfSeats;
}

and you want to map the table (car.xlsx) below to Car objects:

NAME YEAR SEATS

Honda Civic

2017

4

Chevrolet Corvette

2017

2

Using Poiji, you can map the annotated field(s) of super class(es) of the target class like so:

List<Car> cars = Poiji.fromExcel(new File("cars.xls"), Car.class);
cars.size();
// 2
Car car = cars.get(0);
// Honda Civic
// 2017
// 4

ExcelCellRange Annotation

Consider you have a table like below:

No.

Personal Information

Credit Card Information

Name

Age

City

State

Zip Code

Card Type

Last 4 Digits

Expiration Date

1

John Doe

21

Vienna

Virginia

22349

VISA

1234

Jan-21

2

Jane Doe

28

Greenbelt

Maryland

20993

MasterCard

2345

Jun-22

3

Paul Ryan

19

Alexandria

Virginia

22312

JCB

4567

Oct-24

The ExcelCellRange annotation lets us aggregate a range of information in one object model. In this case, we collect the data in PersonCreditInfo plus details of the person in PersonInfo and for the credit card in CardInfo:

public class PersonCreditInfo {

    @ExcelCellName("No.")
    private Integer no;

    @ExcelCellRange
    private PersonInfo personInfo;

    @ExcelCellRange
    private CardInfo cardInfo;

    public static class PersonInfo {
        @ExcelCellName("Name")
        private String name;
        @ExcelCellName("Age")
        private Integer age;
        @ExcelCellName("City")
        private String city;
        @ExcelCellName("State")
        private String state;
        @ExcelCellName("Zip Code")
        private String zipCode;
    }

    public static class CardInfo {
        @ExcelCellName("Card Type")
        private String type;
        @ExcelCellName("Last 4 Digits")
        private String last4Digits;
        @ExcelCellName("Expiration Date")
        private String expirationDate;
    }
}

Using the conventional way, we can retrieve the data using Poiji.fromExcel:

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings().headerCount(2).build();
List<PersonCreditInfo> actualPersonalCredits = Poiji.fromExcel(new File(path), PersonCreditInfo.class, options);

PersonCreditInfo personCreditInfo1 = actualPersonalCredits.get(0);
PersonCreditInfo.PersonInfo expectedPerson1 = personCreditInfo1.getPersonInfo();
PersonCreditInfo.CardInfo expectedCard1 = personCreditInfo1.getCardInfo();

Support Consumer Interface

Poiji supports Consumer Interface. As @fmarazita explained the usage, there are several benefits of having a Consumer:

  1. Huge excel file ( without you have all in memory)

  2. Run time processing/filtering data

  3. DB batch insertion

For example, we have a Calculation entity class and want to insert each row into a database while retrieving:

class Calculation {

  @ExcelCell(0)
  String name

  @ExcelCell(1)
  int a

  @ExcelCell(2)
  int b

  public int getA(){
    return a;
  }

  public int getB(){
    return b;
  }

  public int getName(){
    return name;
  }

}
File fileCalculation = new File(example.xlsx);

PoijiOptions options = PoijiOptionsBuilder.settings().sheetIndex(1).build();

Poiji.fromExcel(fileCalculation, Calculation.class, options, this::dbInsertion);

private void dbInsertion(Calculation siCalculation) {
  int value= siCalculation.getA() + siCalculation.getB();
  String name = siCalculation.getName();
  insertDB(name , value);
}

Custom Casting Implementation

You can create your own casting implementation without relying on the default Poiji casting configuration using the Casting interface.

public class MyCasting implements Casting {
    @Override
    public Object castValue(Class<?> fieldType, String value, PoijiOptions options) {
       return value.trim();
    }
}

public class Person {

    @ExcelCell(0)
    protected String employeeId;

    @ExcelCell(1)
    protected String name;

    @ExcelCell(2)
    protected String surname;

}

Then you can add your custom implementation with the withCasting method:

 PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .withCasting(new MyCasting())
                .build();

List<Person> people = Poiji.fromExcel(excel, Person.class, options);

Parse UnknownCells

You can annotate a Map<String, String> with @ExcelUnknownCells to parse all entries, which are not mapped in any other way (for example by index or by name).

This is our object model:

public class MusicTrack {

    @ExcelCellName("ID")
    private String employeeId;

    @ExcelCellName("AUTHOR")
    private String author;

    @ExcelCellName("NAME")
    private String name;

    @ExcelUnknownCells
    private Map<String, String> unknownCells;

}

This is the excel file we want to parse:

ID AUTHOR NAME ENCODING BITRATE

123923

Joe Doe

The example song

mp3

256

56437

Jane Doe

The random song

flac

1500

The object corresponding to the first row of the excel sheet then has a map with {ENCODING=mp3, BITRATE=256} and the one for the second row has {ENCODING=flac, BITRATE=1500}.

Note that If you use the PoijiOptionsBuilder#caseInsensitive(true) option, the ExcelUnknownCells map will be parsed with lowercase.

Optional Mandatory Headers and Cells

As of 4.0.0, @ExcelCellName and @ExcelCell are given to provide mandatoryHeader and mandatoryCell fields, meaning we can be more specific by declaring rules in headers or cells or both in excel files. mandatoryHeader expects the labeled excel column exists in a given excel file, while mandatoryCell looks into the values of the mentioned header/column. If any of the options is active and your excel breaks the rule, either a HeaderMissingException or PoijiMultiRowException will be thrown accordingly.

// default behavior
@ExcelCellName(value = "COLUMN_NAME", mandatoryHeader = false, mandatoryCell = false)
String fieldName;

// default behavior
@ExcelCell(value = COLUMN_INDEX, mandatoryHeader = false, mandatoryCell = false)
String fieldName;
Note

The mandatoryHeader field is compatible with XLS and XLSX files.

Note

The mandatoryCell field works only with XLS files.

Debug Cells Formats

We can observe each cell format of a given excel file. Assume that we have an excel file like below:

Date

12/31/2020 12.00 AM

We can get all the list of cell formats using PoijiLogCellFormat with PoijiOptions:

PoijiLogCellFormat log = new PoijiLogCellFormat();
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
        .poijiCellFormat(log)
        .build();
List<Model> dates = Poiji.fromExcel(stream, poijiExcelType, Model.class, options);

Model model = rows.get(0)
model.getDate();
// 12.00

Hmm, It looks like we did not achieve the correct date format since we get the date value as (12.00). Let’s see how internally the excel file is being parsed via PoijiLogCellFormat:

List<InternalCellFormat> formats = log.formats();
InternalCellFormat cell10 = formats.get(1);

cell10.getFormatString()
// mm:ss.0
cell10.getFormatIndex()
// 47

Now that we know the reason of why we don’t see the expected date value, it’s because the default format of the date cell is the mm:ss.0 format with a given index 47, we need to change the default format of index (i.e. 47). This format was automatically assigned to the cell having a number, but almost certainly with a special style or format. Note that this option should be used for debugging purpose only.

Modify Cells Formats

We can change the default format of a cell using PoijiNumberFormat. Recall Debug Cells Formats, we are unable to see the correct cell format, what’s more the excel file uses another format which we do not want to.

Date

12/31/2020 12.00 AM

Using PoijiNumberFormat option, we are able to change the behavior of the format of a specific index:

PoijiNumberFormat numberFormat = new PoijiNumberFormat();
numberFormat.putNumberFormat((short) 47, "mm/dd/yyyy hh.mm aa");

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
        .poijiNumberFormat(numberFormat)
        .build();

List<Model> rows = Poiji.fromExcel(stream, poijiExcelType, Model.class, options);

Model model = rows.get(0)
model.getDate();
// 12/31/2020 12.00 AM  (1)
  1. Voila!

We know that the index 47 uses the format mm:ss.0 by default in the given excel file, thus we’re able to override its format with mm/dd/yyyy hh.mm aa using the putNumberFormat method.

Read Excel Properties

It is possible to read excel properties from xlsx files. To achieve that, create a class with fields annotated with @ExcelProperty.

Example:

public class ExcelProperties {
    @ExcelProperty
    private String title;

    @ExcelProperty
    private String customProperty;
}

The field name corresponds to the name of the property inside the Excel file. To use a different one than the field name, you can specify a propertyName (e.g. @ExcelProperty(propertyName = "customPropertyName"))

The list of built-in (e.g. non-custom) properties in an Excel file, which can be read by Poiji can be found in the class DefaultExcelProperties.

Poiji can only read Text properties from an Excel file, so you have to use a String to read them. This does not apply to "modified", "lastPrinted" and "created", which are deserialized into a Date.

Disable Cells Formats

Consider we have a xls or xlsx excel file like below:

Amount

25,00

(50,00)

(65,00)

Since we use a cell format on line 4 and 5 (i.e. (50,00) and (65,00)), we don’t want to see the formatted value of each cell after processing. In order to do that, we can use @DisableCellFormatXLS on a field if the file ends with xls or disableXLSXNumberCellFormat() for xlsx files using PoijiOptions.

xls files
public class TestInfo {
    @ExcelCell(0)
    @DisableCellFormatXLS (1)
    public BigDecimal amount;
}
  1. we only disable cell formats on the specified column.

xlsx files
public class TestInfo {
    @ExcelCell(0)
    private BigDecimal amount;
}

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .disableXLSXNumberCellFormat() (1)
                .build();
  1. when disabling number cell format, we disable it in the entire cells for xlsx files.

and let Poiji ignores the cell formats:

List<TestInfo> result = Poiji.fromExcel(new File(path), TestInfo.class, options); (1)

result.get(1).amount
// -50
  1. Add options, if your excel is xlsx file.

Create Custom Formatting

You can create your own formatting implementation without relying on the default Poiji formatting configuration using the Formatting interface.

public class MyFormatting implements Formatting {
    @Override
    public String transform(PoijiOptions options, String value) {
        return value.toUpperCase().trim(); (1)
    }
}

public class Person {

    @ExcelCellName("ID")
    protected String employeeId;

    @ExcelCellName("NAME")
    protected String name;

    @ExcelCellName("SURNAME")
    protected String surname;

}
  1. Suppose that all the header names of an excel file have different formatting. Using custom formatting, we are able to look at headers with a custom format. All the headers will be uppercase and don’t have white spaces before and after.

Then you can add your custom implementation with the withFormatting method:

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .withFormatting(new MyFormatting())
                .build();
List<Person> people = Poiji.fromExcel(excel, Person.class, options);

Poi Sheet Support

Poiji accepts excel records via Poi Sheet object as well:

File file = new File("/tmp/file.xlsx");
FileInputStream fileInputStream = new FileInputStream(file);
Workbook workbook = new XSSFWorkbook(fileInputStream);
Sheet sheet = workbook.getSheetAt(0);

List<Model> result = Poiji.fromExcel(sheet, Model.class);

Update Default Locale

For parsing numbers and dates java.lang.Locale is used. Also Apache Poi uses the Locale for parsing. As default, Poij uses Locale.US irrespective of Locale used on the running system. If you want to change that you can use a option to pass the Locale to be used like shown below.

In this example the Jvm default locale is used. Beware that if your code run’s on a other Jvm with another Locale set as default parsing could give different results. Better is to use a fixed locale. Also be aware of differences how Locales behave between Java 8 and 9+. For example AM/PM in Locale.GERMANY is displayed as AM/PM in Java 8 but Vorn./Nam. in Java 9 or higher. This is due to the changes in Java 9. See JEP-252 for more details.

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .setLocale(Locale.getDefault())
                .build();

License

FOSSA Status

More Repositories

1

mongodb-json-files

📦 A curated list of JSON / BSON datasets from the web in order to practice / use in MongoDB
Shell
669
star
2

datacamp

🍧 DataCamp data-science and machine learning courses
Jupyter Notebook
313
star
3

rapid

🐳 A lightweight Docker Developer Interface for Docker Remote API
Java
141
star
4

mongolastic

🚥 A dataset migration tool from MongoDB to Elasticsearch and vice versa.
Java
137
star
5

deep-learning-notes

🤖 Deep Learning notes and snippets
Jupyter Notebook
27
star
6

java9-module-examples

a list of Java 9 module samples to dive into the modular world
Java
27
star
7

categoric

🎨 [Chrome Extension] Categorizing your mixed GitHub notifications per repository.
JavaScript
12
star
8

aop-metrics

🔎 master thesis: a metrics suite including both aspect-oriented and object-oriented features using Ekeko
Clojure
8
star
9

toci

🗂 markdown tool to create table of content from jupyter notebooks
Python
8
star
10

bikeshare

Analysing bike data from three different cities in the US
Python
7
star
11

aspectj-ebook

📘 AspectJ E-Book (in Turkish)
AGS Script
7
star
12

solring

🔍 A tiny Solr import tool to save records of custom queries from Solr to local storage
Python
7
star
13

pelikan

🦩 A Python tool to create comment-free Jupyter notebooks.
Python
7
star
14

mongodb-query-examples

Query examples based on a tweets collection by means of MongoDB Java Driver and Spring MongoDB Project
Java
6
star
15

ab-test

A repo that analyzes an A/B test result of an e-commerce website.
Jupyter Notebook
6
star
16

datacamp-projects

A list of data-camp projects I have done
Jupyter Notebook
6
star
17

keywords_clustering

cluster text data using sentence bert
Jupyter Notebook
5
star
18

jest

💍 ipython magic tool to make smooth HTTP calls
Python
4
star
19

learn-git-cherry-pick

A repo showing you how to use the basic cherry-pick 🍒 command
4
star
20

registry

docker registry lab
Nginx
4
star
21

java9

Başlıca önemli Java 9 yeniliklerine ait yazılar
Java
4
star
22

jambda-antlr

A concrete example of how to use ANTLR in a Java project
Java
3
star
23

markov-chain

A markov chain implementation written with Python
Python
3
star
24

cyber

Jupyter Notebook
3
star
25

fsm-rocks

FSM Vakif University Workshop
Jupyter Notebook
3
star
26

gapa

a macOS utility to hide folders and files on the Desktop
Python
3
star
27

hello-openshift

Java
2
star
28

engoo

JavaScript
2
star
29

swapur

🚣 Bir butondan daha fazlası, anlayamazsınız.
JavaScript
2
star
30

zone

📅 find out what the given time means in your local zone
Java
2
star
31

forest-fires-dataset

2
star
32

solr-chrome-extension

A tool for scroll-to-up and display-row-number features
JavaScript
2
star
33

schemeless

Solr Schema Validator
Rust
2
star
34

eda

Exploratory Data Analysis Samples
Jupyter Notebook
1
star
35

tri

Translate text from English to Turkish
Rust
1
star
36

soccer

Investigate a database
HTML
1
star
37

medium-history

"Reading history" is back to the main page of medium.com
JavaScript
1
star
38

solr-news

A CLI to fetch fresh news from SOLR
Rust
1
star
39

tureng-dictionary

English-Turkish Word Repository
C#
1
star
40

poiji-documentation

JavaScript
1
star
41

hljs-checker

A Chrome extension that allows you to select/deselect all the available languages located in the 'Other' section on
JavaScript
1
star