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    <title>PyPI recent updates for pycatcher</title>
    <link>https://pypi.org/project/pycatcher/</link>
    <description>Recent updates to the Python Package Index for pycatcher</description>
    <language>en</language>    <item>
      <title>0.0.72</title>
      <link>https://pypi.org/project/pycatcher/0.0.72/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sat, 05 Jul 2025 01:45:19 GMT</pubDate>
    </item>    <item>
      <title>0.0.71</title>
      <link>https://pypi.org/project/pycatcher/0.0.71/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 04 Jul 2025 19:09:25 GMT</pubDate>
    </item>    <item>
      <title>0.0.70</title>
      <link>https://pypi.org/project/pycatcher/0.0.70/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 04 Jul 2025 05:12:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.69</title>
      <link>https://pypi.org/project/pycatcher/0.0.69/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 04 Jul 2025 05:02:18 GMT</pubDate>
    </item>    <item>
      <title>0.0.68</title>
      <link>https://pypi.org/project/pycatcher/0.0.68/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Tue, 01 Jul 2025 22:15:22 GMT</pubDate>
    </item>    <item>
      <title>0.0.67</title>
      <link>https://pypi.org/project/pycatcher/0.0.67/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 20 Jan 2025 21:43:56 GMT</pubDate>
    </item>    <item>
      <title>0.0.66</title>
      <link>https://pypi.org/project/pycatcher/0.0.66/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 20 Jan 2025 21:35:11 GMT</pubDate>
    </item>    <item>
      <title>0.0.65</title>
      <link>https://pypi.org/project/pycatcher/0.0.65/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sun, 19 Jan 2025 22:00:16 GMT</pubDate>
    </item>    <item>
      <title>0.0.64</title>
      <link>https://pypi.org/project/pycatcher/0.0.64/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Wed, 08 Jan 2025 21:25:11 GMT</pubDate>
    </item>    <item>
      <title>0.0.62</title>
      <link>https://pypi.org/project/pycatcher/0.0.62/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Wed, 01 Jan 2025 04:33:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.61</title>
      <link>https://pypi.org/project/pycatcher/0.0.61/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 30 Dec 2024 05:02:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.60</title>
      <link>https://pypi.org/project/pycatcher/0.0.60/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sun, 29 Dec 2024 20:40:05 GMT</pubDate>
    </item>    <item>
      <title>0.0.59</title>
      <link>https://pypi.org/project/pycatcher/0.0.59/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 27 Dec 2024 02:43:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.58</title>
      <link>https://pypi.org/project/pycatcher/0.0.58/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Thu, 26 Dec 2024 06:04:10 GMT</pubDate>
    </item>    <item>
      <title>0.0.57</title>
      <link>https://pypi.org/project/pycatcher/0.0.57/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Wed, 25 Dec 2024 21:14:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.56</title>
      <link>https://pypi.org/project/pycatcher/0.0.56/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Wed, 25 Dec 2024 05:14:39 GMT</pubDate>
    </item>    <item>
      <title>0.0.55</title>
      <link>https://pypi.org/project/pycatcher/0.0.55/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 23 Dec 2024 05:01:14 GMT</pubDate>
    </item>    <item>
      <title>0.0.54</title>
      <link>https://pypi.org/project/pycatcher/0.0.54/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sat, 21 Dec 2024 19:50:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.53</title>
      <link>https://pypi.org/project/pycatcher/0.0.53/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sat, 21 Dec 2024 17:26:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.52</title>
      <link>https://pypi.org/project/pycatcher/0.0.52/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sat, 21 Dec 2024 17:08:31 GMT</pubDate>
    </item>    <item>
      <title>0.0.51</title>
      <link>https://pypi.org/project/pycatcher/0.0.51/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Wed, 18 Dec 2024 15:23:58 GMT</pubDate>
    </item>    <item>
      <title>0.0.50</title>
      <link>https://pypi.org/project/pycatcher/0.0.50/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Tue, 17 Dec 2024 13:45:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.49</title>
      <link>https://pypi.org/project/pycatcher/0.0.49/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Tue, 17 Dec 2024 04:07:41 GMT</pubDate>
    </item>    <item>
      <title>0.0.48</title>
      <link>https://pypi.org/project/pycatcher/0.0.48/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Tue, 17 Dec 2024 03:15:47 GMT</pubDate>
    </item>    <item>
      <title>0.0.47</title>
      <link>https://pypi.org/project/pycatcher/0.0.47/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Tue, 17 Dec 2024 02:04:31 GMT</pubDate>
    </item>    <item>
      <title>0.0.46</title>
      <link>https://pypi.org/project/pycatcher/0.0.46/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 16 Dec 2024 02:55:50 GMT</pubDate>
    </item>    <item>
      <title>0.0.45</title>
      <link>https://pypi.org/project/pycatcher/0.0.45/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sun, 15 Dec 2024 05:10:16 GMT</pubDate>
    </item>    <item>
      <title>0.0.44</title>
      <link>https://pypi.org/project/pycatcher/0.0.44/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sat, 14 Dec 2024 02:33:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.43</title>
      <link>https://pypi.org/project/pycatcher/0.0.43/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 13 Dec 2024 13:37:45 GMT</pubDate>
    </item>    <item>
      <title>0.0.42</title>
      <link>https://pypi.org/project/pycatcher/0.0.42/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Thu, 12 Dec 2024 14:11:10 GMT</pubDate>
    </item>    <item>
      <title>0.0.41</title>
      <link>https://pypi.org/project/pycatcher/0.0.41/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sun, 08 Dec 2024 20:12:40 GMT</pubDate>
    </item>    <item>
      <title>0.0.40</title>
      <link>https://pypi.org/project/pycatcher/0.0.40/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 06 Dec 2024 15:46:31 GMT</pubDate>
    </item>    <item>
      <title>0.0.39</title>
      <link>https://pypi.org/project/pycatcher/0.0.39/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Thu, 05 Dec 2024 05:33:01 GMT</pubDate>
    </item>    <item>
      <title>0.0.38</title>
      <link>https://pypi.org/project/pycatcher/0.0.38/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Tue, 03 Dec 2024 15:50:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.37</title>
      <link>https://pypi.org/project/pycatcher/0.0.37/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 02 Dec 2024 20:24:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.36</title>
      <link>https://pypi.org/project/pycatcher/0.0.36/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Mon, 02 Dec 2024 04:30:02 GMT</pubDate>
    </item>    <item>
      <title>0.0.35</title>
      <link>https://pypi.org/project/pycatcher/0.0.35/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 17:23:48 GMT</pubDate>
    </item>    <item>
      <title>0.0.34</title>
      <link>https://pypi.org/project/pycatcher/0.0.34/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sun, 01 Dec 2024 05:03:20 GMT</pubDate>
    </item>    <item>
      <title>0.0.33</title>
      <link>https://pypi.org/project/pycatcher/0.0.33/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Sat, 30 Nov 2024 18:14:32 GMT</pubDate>
    </item>    <item>
      <title>0.0.32</title>
      <link>https://pypi.org/project/pycatcher/0.0.32/</link>
      <description>This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.</description>
<author>aseemanand@gmail.com</author>      <pubDate>Fri, 29 Nov 2024 19:31:25 GMT</pubDate>
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